subject:(DCE MRI)

Vanderbilt University

1. Hormuth, David Andrew II. A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.

Degree: MS, Biomedical Engineering, 2012, Vanderbilt University

URL: http://hdl.handle.net/1803/14849

► Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is a method that can be used to quantitatively and qualitatively assess physiological characteristics of tissue. Quantitative DCE-MRI… (more)

Subjects/Keywords: Cancer; Imaging; DCE-MRI; MRI

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APA (6^th Edition):

Hormuth, D. A. I. (2012). A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14849

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hormuth, David Andrew II. “A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.” 2012. Thesis, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/14849.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hormuth, David Andrew II. “A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.” 2012. Web. 05 Mar 2021.

Vancouver:

Hormuth DAI. A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/14849.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hormuth DAI. A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/14849

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

2. Wu, Zhiyi (author). Functional Liver Partition of DCE-MRI.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e

The proposed functional liver segments partition method based on DCE-MRI is introduced in this thesis.

Biomedical Engineering

Advisors/Committee Members: Vos, Frans (mentor), Zhang, Tian (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: functional liver partition; DCE-MRI

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APA (6^th Edition):

Wu, Z. (. (2017). Functional Liver Partition of DCE-MRI. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e

Chicago Manual of Style (16^th Edition):

Wu, Zhiyi (author). “Functional Liver Partition of DCE-MRI.” 2017. Masters Thesis, Delft University of Technology. Accessed March 05, 2021. http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e.

MLA Handbook (7^th Edition):

Wu, Zhiyi (author). “Functional Liver Partition of DCE-MRI.” 2017. Web. 05 Mar 2021.

Vancouver:

Wu Z(. Functional Liver Partition of DCE-MRI. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 05]. Available from: http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e.

Council of Science Editors:

Wu Z(. Functional Liver Partition of DCE-MRI. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:83965250-3834-4643-a54d-842e87e1602e

University of Utah

3. Fluckiger, Jacob U. Absolute quantification of pharmacokinetic parameters in dynamic contrast enhanced magnetic resonance imaging.

Degree: PhD, Bioengineering, 2011, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/556/rec/123

► We present a method for absolutely quantifying pharmacokinetic parameters in dynamic contrast-enhanced (DCE)-MRI. This method, known as alternating mini-mization with model (AMM), involves jointly estimating… (more)

▼ We present a method for absolutely quantifying pharmacokinetic parameters in dynamic contrast-enhanced (DCE)-MRI. This method, known as alternating mini-mization with model (AMM), involves jointly estimating the arterial input function (AIF) and pharmacokinetic parameters from a characteristic set of measured tissue concentration curves. By blindly estimating the AIF, problems associated with AIF measurement in pharmacokinetic modeling, such as signal saturation, flow and partial volume eff ects, and small arterial lumens can be ignored. The blind estimation method described here introduces a novel functional form for the AIF, which serves to simplify the estimation process and reduce the deleterious e ffects of noise on the deconvolution process. Computer simulations were undertaken to assess the performance of the estimation process as a function of the input tissue curves. A con fidence metric for the estimation quality, based on a linear combination of the SNR and diversity of the input curves, is presented. This con fidence metric is then used to allow for localizing the region from which input curves are drawn. Local blood supply to any particular region can then be blindly estimated, along with some measure of con fidence for that estimation. Methods for evaluating the utility of the blind estimation algorithm on clinical data are presented, along with preliminary results on quantifying tissue parameters in soft-tissue sarcomas. The AMM method is applied to in vivo data from both cardiac perfusion and breast cancer scans. The cardiac scans were conducted using a dual-bolus protocol, which provides a measure of truth for the AIF. Twenty data sets were processed with this method, and pharmacokinetic parameter values derived from the blind AIF were compared with those derived from the dual-bolus measured AIF. For seventeen of the twenty datasets there were no statistically signifi cant differences in Ktrans estimates. The cardiac AMM method presented here provides a way to quantify perfusion of myocardial tissue with a single injection of contrast agent and without a special pulse sequence. The resulting parameters are similar to those given by the dual bolus method. The breast cancer scans were processed with the AMM method and the results were compared to an analysis done with the semiquantitative DCE-MRI scans. The e ffects of the temporal sampling rate of the data on the AMM method are examined. The ability of the AMM-derived parameters to distinguish benign and malignant tumors is compared to more conventional methods.

Subjects/Keywords: Arterial input function; Blind estimation; DCE-MRI

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APA (6^th Edition):

Fluckiger, J. U. (2011). Absolute quantification of pharmacokinetic parameters in dynamic contrast enhanced magnetic resonance imaging. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/556/rec/123

Chicago Manual of Style (16^th Edition):

Fluckiger, Jacob U. “Absolute quantification of pharmacokinetic parameters in dynamic contrast enhanced magnetic resonance imaging.” 2011. Doctoral Dissertation, University of Utah. Accessed March 05, 2021. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/556/rec/123.

MLA Handbook (7^th Edition):

Fluckiger, Jacob U. “Absolute quantification of pharmacokinetic parameters in dynamic contrast enhanced magnetic resonance imaging.” 2011. Web. 05 Mar 2021.

Vancouver:

Fluckiger JU. Absolute quantification of pharmacokinetic parameters in dynamic contrast enhanced magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Utah; 2011. [cited 2021 Mar 05]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/556/rec/123.

Council of Science Editors:

Fluckiger JU. Absolute quantification of pharmacokinetic parameters in dynamic contrast enhanced magnetic resonance imaging. [Doctoral Dissertation]. University of Utah; 2011. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/556/rec/123

University of Arizona

4. Cardenas Rodriguez, Julio César. New Models and Contrast Agents for Dynamic Contrast-Enhanced MRI .

Degree: 2012, University of Arizona

URL: http://hdl.handle.net/10150/222845

► Angiogenesis is a fundamental driver of tumor biology and many other important aspect of human health. Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) has been… (more)

Subjects/Keywords: Pharmacokinetics; Chemistry; Contrast Agent; DCE-MRI

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APA (6^th Edition):

Cardenas Rodriguez, J. C. (2012). New Models and Contrast Agents for Dynamic Contrast-Enhanced MRI . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/222845

Chicago Manual of Style (16^th Edition):

Cardenas Rodriguez, Julio César. “New Models and Contrast Agents for Dynamic Contrast-Enhanced MRI .” 2012. Doctoral Dissertation, University of Arizona. Accessed March 05, 2021. http://hdl.handle.net/10150/222845.

MLA Handbook (7^th Edition):

Cardenas Rodriguez, Julio César. “New Models and Contrast Agents for Dynamic Contrast-Enhanced MRI .” 2012. Web. 05 Mar 2021.

Vancouver:

Cardenas Rodriguez JC. New Models and Contrast Agents for Dynamic Contrast-Enhanced MRI . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10150/222845.

Council of Science Editors:

Cardenas Rodriguez JC. New Models and Contrast Agents for Dynamic Contrast-Enhanced MRI . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/222845

5. Fransson, Samuel. Validation and Robustness Analysis of Dynamic Contrast Enhanced MRI.

Degree: Physics, 2015, Umeå University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-107987

► In Dynamic Contrast Enhanced MRI there are several steps from the initial signal to obtaining the pharmacokinetic parameters for tumor characterization. The aim of… (more)

▼ In Dynamic Contrast Enhanced MRI there are several steps from the initial signal to obtaining the pharmacokinetic parameters for tumor characterization. The aim of this work was to validate the steps in the flow of data focusing on T1-mapping, Contrast Agent (CA)-quantification and the pharmacokinetical (PK) model, using a digital phantom of a head. In the Digital Phantom tissues are assigned necessary values to obtain both a regular and contrast enhanced (using Parker AIF) representation and simulating an SPGR signal. The data analysis was performed in a software called MICE, as well as the Digital Phantom developed at the department of Radiation Sciences at Umeå University. The method of variable flip angles for the T1-mapping was analyzed with respect to SNR and number of flip angles, finding that the median value in each tissue is correct and stable. A "two point" inversion recovery sequence was tested with optimal combination of inversion times for white matter and CSF and obtaining correct T1-values when the inversion times were close to the tissue T1, otherwise with large deviations seen. Three different methods for CA-quantification were analyzed and a large underestimation was found assuming a linearity between signal and CA-concentration mainly for vessels at about 60%, but also for other tissue such as white matter at about 15%, improving when the assumption was removed. Still there was a noticeable underestimation of 30% and 10% and the quantification was improved further, achieving a near perfect agreement with the reference concentration, taking the T2*-effect into account. Applying Kety-model, discarding the vp-term, Ktrans was found to be stable with respect to noise in the tumor rim but ve noticeably underestimated with about 50%. The effect of different bolus arrival time, shifting the AIF required in the PK-model with respect to the CA-concentration, was tested with values up to 5 s, obtaining up to about 5% difference in Ktrans as well as the effect of a vascular transport function obtained by the means of an effective mean transit time up to 5 s and up to about 5% difference in Ktrans.

Subjects/Keywords: MRI; DCE-MRI; Dynamic Contrast Enhanced MRI; Validation; Simulation

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APA (6^th Edition):

Fransson, S. (2015). Validation and Robustness Analysis of Dynamic Contrast Enhanced MRI. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-107987

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Fransson, Samuel. “Validation and Robustness Analysis of Dynamic Contrast Enhanced MRI.” 2015. Thesis, Umeå University. Accessed March 05, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-107987.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Fransson, Samuel. “Validation and Robustness Analysis of Dynamic Contrast Enhanced MRI.” 2015. Web. 05 Mar 2021.

Vancouver:

Fransson S. Validation and Robustness Analysis of Dynamic Contrast Enhanced MRI. [Internet] [Thesis]. Umeå University; 2015. [cited 2021 Mar 05]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-107987.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fransson S. Validation and Robustness Analysis of Dynamic Contrast Enhanced MRI. [Thesis]. Umeå University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-107987

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

6. -5205-9683. Effects of biopsy clips on pharmacokinetic analysis of DCE-MRI data in breast cancer.

Degree: MSin Engineering, Biomedical Engineering, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/10184

► Breast biopsy clips are frequently present in the field of view (FOV) of magnetic resonance images (MRI) of the breast. These clips, typically ranging in… (more)

Subjects/Keywords: DCE-MRI; MRI; Biopsy clips; Susceptibility artifacts; MRI phantoms

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APA (6^th Edition):

-5205-9683. (2020). Effects of biopsy clips on pharmacokinetic analysis of DCE-MRI data in breast cancer. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10184

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-5205-9683. “Effects of biopsy clips on pharmacokinetic analysis of DCE-MRI data in breast cancer.” 2020. Masters Thesis, University of Texas – Austin. Accessed March 05, 2021. http://dx.doi.org/10.26153/tsw/10184.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-5205-9683. “Effects of biopsy clips on pharmacokinetic analysis of DCE-MRI data in breast cancer.” 2020. Web. 05 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5205-9683. Effects of biopsy clips on pharmacokinetic analysis of DCE-MRI data in breast cancer. [Internet] [Masters thesis]. University of Texas – Austin; 2020. [cited 2021 Mar 05]. Available from: http://dx.doi.org/10.26153/tsw/10184.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5205-9683. Effects of biopsy clips on pharmacokinetic analysis of DCE-MRI data in breast cancer. [Masters Thesis]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10184

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

University of Manchester

7. Zhang, Weijuan. Magnetic resonance imaging of the lungs in asthma and COPD.

Degree: PhD, 2015, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/magnetic-resonance-imaging-of-the-lungs-in-asthma-and-copd(beea3294-c75f-4baf-95f8-9ab2348362b1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.634953

► This project focused on the pulmonary application of magnetic resonance (MR) quantitative equilibrium signal (qS0) mapping, dynamic oxygen-enhanced (OE-) magnetic resonance imaging (MRI) and dynamic… (more)

▼ This project focused on the pulmonary application of magnetic resonance (MR) quantitative equilibrium signal (qS0) mapping, dynamic oxygen-enhanced (OE-) magnetic resonance imaging (MRI) and dynamic contrast-enhanced (DCE-) MRI in asthma and chronic obstructive pulmonary disease (COPD). Initially, a retrospective analysis of MRI and X-ray computed tomography (CT) data from 24 COPD patients and 12 healthy controls demonstrated that MR qS0 mapping had good one-week reproducibility and was comparable to CT in the localization and quantification of emphysema in patients with COPD. In the same data, a reduced oxygen (O2) delivery signal was detected by dynamic OE-MRI in COPD patients regardless of the presence or absence of emphysema on CT, while a significantly reduced baseline spin-lattice relaxation time (T1air) was only observed in emphysematous COPD. Emphysematous COPD also showed significant correlations between dynamic OE-MRI readouts, i.e. enhancing fraction (EF) and the change in the partial pressure of O2 in lung parenchyma (ΔPO2max), and pulmonary diffusion capacity and CT estimates of emphysema. A prospective pilot study was conducted in 10 asthmatic patients which demonstrated that dynamic OE-MRI readouts, including EF, ΔPO2max and O2 wash-in time constant (τup), were reproducible within one month, sensitive to asthma severity and strongly correlated with spirometric readouts of airway function and lung volume. This was followed by a second prospective intervention study in 30 asthmatic patients and 10 healthy controls which revealed a pattern of decreased O2 delivery signal as a response to salbutamol inhalation in severe asthmatics but not in mild asthmatics or healthy controls using short-term repeated dynamic OE-MRI. In addition, DCE-MRI was also performed on 30 asthmatic patients and 10 healthy subjects. A semi-quantitative analysis demonstrated that contrast agent kinetics in asthmatic lungs were characterised by a reduced first-pass peak (SI%max) and a shallower downslope during the late redistribution phase (kwashout) than was observed in healthy controls, and that these were related to pulmonary function test measurements. An extended Tofts model-based quantitative analysis further revealed a significantly increased fractional extravascular extracellular space (ve) in patients with asthma than in healthy controls while the contrast agent transfer coefficient (Ktrans), an index related to vascular permeability, and the fractional blood plasma volume (vp), did not distinguish asthmatics from controls. In conclusion, this project demonstrated the promise of 1) MR qS0 mapping for the assessment of emphysema in COPD lungs, 2) dynamic OE-MRI for the assessment of impaired pulmonary oxygenation in COPD and asthma and for the monitoring of short-term treatment effects in asthma and 3) DCE-MRI for the evaluation of pulmonary microvascular inflammation in asthma. The non-invasive non-ionizing properties and simple setup requirements make these three proton MRI techniques attractive options in the assessment of…

Subjects/Keywords: 616.07; Asthma, COPD, MRI, Proton, DCE-MRI, OE-MRI, Human

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APA (6^th Edition):

Zhang, W. (2015). Magnetic resonance imaging of the lungs in asthma and COPD. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/magnetic-resonance-imaging-of-the-lungs-in-asthma-and-copd(beea3294-c75f-4baf-95f8-9ab2348362b1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.634953

Chicago Manual of Style (16^th Edition):

Zhang, Weijuan. “Magnetic resonance imaging of the lungs in asthma and COPD.” 2015. Doctoral Dissertation, University of Manchester. Accessed March 05, 2021. https://www.research.manchester.ac.uk/portal/en/theses/magnetic-resonance-imaging-of-the-lungs-in-asthma-and-copd(beea3294-c75f-4baf-95f8-9ab2348362b1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.634953.

MLA Handbook (7^th Edition):

Zhang, Weijuan. “Magnetic resonance imaging of the lungs in asthma and COPD.” 2015. Web. 05 Mar 2021.

Vancouver:

Zhang W. Magnetic resonance imaging of the lungs in asthma and COPD. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2021 Mar 05]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/magnetic-resonance-imaging-of-the-lungs-in-asthma-and-copd(beea3294-c75f-4baf-95f8-9ab2348362b1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.634953.

Council of Science Editors:

Zhang W. Magnetic resonance imaging of the lungs in asthma and COPD. [Doctoral Dissertation]. University of Manchester; 2015. Available from: https://www.research.manchester.ac.uk/portal/en/theses/magnetic-resonance-imaging-of-the-lungs-in-asthma-and-copd(beea3294-c75f-4baf-95f8-9ab2348362b1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.634953

Vanderbilt University

8. Loveless, Mary E. Optimization, Application, and Cross-correlation of DCE-MRI in Small Animal Models of Cancer.

Degree: PhD, Biomedical Engineering, 2010, Vanderbilt University

URL: http://hdl.handle.net/1803/14566

► With cancer encompassing a range of disease states and phenotypes, assessing treatment efficacy early, accurately, and non-invasively is essential to optimize therapy planning on an… (more)

Subjects/Keywords: cancer; MRI; DCE-MRI

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APA (6^th Edition):

Loveless, M. E. (2010). Optimization, Application, and Cross-correlation of DCE-MRI in Small Animal Models of Cancer. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14566

Chicago Manual of Style (16^th Edition):

Loveless, Mary E. “Optimization, Application, and Cross-correlation of DCE-MRI in Small Animal Models of Cancer.” 2010. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/14566.

MLA Handbook (7^th Edition):

Loveless, Mary E. “Optimization, Application, and Cross-correlation of DCE-MRI in Small Animal Models of Cancer.” 2010. Web. 05 Mar 2021.

Vancouver:

Loveless ME. Optimization, Application, and Cross-correlation of DCE-MRI in Small Animal Models of Cancer. [Internet] [Doctoral dissertation]. Vanderbilt University; 2010. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/14566.

Council of Science Editors:

Loveless ME. Optimization, Application, and Cross-correlation of DCE-MRI in Small Animal Models of Cancer. [Doctoral Dissertation]. Vanderbilt University; 2010. Available from: http://hdl.handle.net/1803/14566

University of Manchester

9. Quartuccio, Natale. IMAGING BIOMARKERS OF TISSUE HYPOXIA IN GLIOBLASTOMA.

Degree: 2019, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318620

► High-grade gliomas are relatively rare and highly aggressive tumors affecting the brain. Despite significant research efforts in the last decades, survival for patients with high-grade… (more)

Subjects/Keywords: OE-MRI; hypoxia; glioma; glioblastoma; CBF; DCE-MRI

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APA (6^th Edition):

Quartuccio, N. (2019). IMAGING BIOMARKERS OF TISSUE HYPOXIA IN GLIOBLASTOMA. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318620

Chicago Manual of Style (16^th Edition):

Quartuccio, Natale. “IMAGING BIOMARKERS OF TISSUE HYPOXIA IN GLIOBLASTOMA.” 2019. Doctoral Dissertation, University of Manchester. Accessed March 05, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318620.

MLA Handbook (7^th Edition):

Quartuccio, Natale. “IMAGING BIOMARKERS OF TISSUE HYPOXIA IN GLIOBLASTOMA.” 2019. Web. 05 Mar 2021.

Vancouver:

Quartuccio N. IMAGING BIOMARKERS OF TISSUE HYPOXIA IN GLIOBLASTOMA. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2021 Mar 05]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318620.

Council of Science Editors:

Quartuccio N. IMAGING BIOMARKERS OF TISSUE HYPOXIA IN GLIOBLASTOMA. [Doctoral Dissertation]. University of Manchester; 2019. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318620

Vanderbilt University

10. Skinner, Jack Thomas. Investigation of the Effect of Tissue Water Dynamics on Compartmental MRI Measurements using Contrast Enhanced Relaxometry and SPECT.

Degree: PhD, Biomedical Engineering, 2012, Vanderbilt University

URL: http://hdl.handle.net/1803/11412

► Magnetic resonance imaging (MRI) provides methods for characterizing tissue micro-structure using relaxation-based measurements with and without the use of contrast agents (CA). Two techniques, dynamic… (more)

Subjects/Keywords: SPECT; DCE-MRI; contrast enhanced; relaxation; MRI; imaging; radionuclide; compartmental model

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APA (6^th Edition):

Skinner, J. T. (2012). Investigation of the Effect of Tissue Water Dynamics on Compartmental MRI Measurements using Contrast Enhanced Relaxometry and SPECT. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11412

Chicago Manual of Style (16^th Edition):

Skinner, Jack Thomas. “Investigation of the Effect of Tissue Water Dynamics on Compartmental MRI Measurements using Contrast Enhanced Relaxometry and SPECT.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/11412.

MLA Handbook (7^th Edition):

Skinner, Jack Thomas. “Investigation of the Effect of Tissue Water Dynamics on Compartmental MRI Measurements using Contrast Enhanced Relaxometry and SPECT.” 2012. Web. 05 Mar 2021.

Vancouver:

Skinner JT. Investigation of the Effect of Tissue Water Dynamics on Compartmental MRI Measurements using Contrast Enhanced Relaxometry and SPECT. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/11412.

Council of Science Editors:

Skinner JT. Investigation of the Effect of Tissue Water Dynamics on Compartmental MRI Measurements using Contrast Enhanced Relaxometry and SPECT. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/11412

University of Manchester

11. Quartuccio, Natale. Imaging biomarkers of tissue hypoxia in glioblastoma.

Degree: Thesis (M.D.), 2019, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-tissue-hypoxia-in-glioblastoma(5dc1b70d-1dcb-4800-831d-06d8075f88b4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804081

► High-grade gliomas are relatively rare and highly aggressive tumors affecting the brain. Despite significant research efforts in the last decades, survival for patients with high-grade… (more)

Subjects/Keywords: OE-MRI; hypoxia; glioma; glioblastoma; CBF; DCE-MRI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Quartuccio, N. (2019). Imaging biomarkers of tissue hypoxia in glioblastoma. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-tissue-hypoxia-in-glioblastoma(5dc1b70d-1dcb-4800-831d-06d8075f88b4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804081

Chicago Manual of Style (16^th Edition):

Quartuccio, Natale. “Imaging biomarkers of tissue hypoxia in glioblastoma.” 2019. Doctoral Dissertation, University of Manchester. Accessed March 05, 2021. https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-tissue-hypoxia-in-glioblastoma(5dc1b70d-1dcb-4800-831d-06d8075f88b4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804081.

MLA Handbook (7^th Edition):

Quartuccio, Natale. “Imaging biomarkers of tissue hypoxia in glioblastoma.” 2019. Web. 05 Mar 2021.

Vancouver:

Quartuccio N. Imaging biomarkers of tissue hypoxia in glioblastoma. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2021 Mar 05]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-tissue-hypoxia-in-glioblastoma(5dc1b70d-1dcb-4800-831d-06d8075f88b4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804081.

Council of Science Editors:

Quartuccio N. Imaging biomarkers of tissue hypoxia in glioblastoma. [Doctoral Dissertation]. University of Manchester; 2019. Available from: https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-tissue-hypoxia-in-glioblastoma(5dc1b70d-1dcb-4800-831d-06d8075f88b4).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804081

University of Texas – Austin

12. Ramirez, Marc Stephen. A 20-coil array system for high-throughput dynamic contrast-enhanced mouse MRI.

Degree: PhD, Biomedical Engineering, 2011, University of Texas – Austin

URL: http://hdl.handle.net/2152/20659

► MRI is a versatile tool for systematically assessing anatomical and functional changes in small animal models of human disease. Its noninvasive nature makes MRI an… (more)

▼ MRI is a versatile tool for systematically assessing anatomical and functional changes in small animal models of human disease. Its noninvasive nature makes MRI an ideal candidate for longitudinal evaluation of disease progression in mice; however achieving the desired level of statistical power can be expensive in terms of imaging time. This is particularly true for cancer studies, where dynamic contrast-enhanced (DCE-) MRI, which involves the repeated acquisition of anatomical images before, during, and after the injection of a paramagnetic contrast agent, is used to monitor changes in tumor vasculature. A means of reducing the overall time required to scan multiple cohorts of animals in distinct experimental groups is therefore highly desirable. Multiple-mouse MRI, in which several animals are simultaneously scanned in a common MRI system, has been successfully used to improve study throughput. However, to best utilize the next generation of small-animal MRI systems that will be equipped with an increased number of receive channels, a paradigm shift from simultaneously scanning as many animals as possible to scanning a more manageable number, at a faster rate, must be considered. Given a small-animal MRI system with 16 available receive channels, the simulations described in this work explore the tradeoffs between the number of animals scanned at once and the number of array elements dedicated to each animal for maximizing throughput. An array system consisting of 15 receive and 5 transmit coils allows throughput-optimized acceleration of a DCE-MRI protocol by a combination of multi-animal and parallel imaging techniques. The array system was designed and fabricated for use on a 7.0-T / 30-cm MRI system, and tested for high-throughput imaging performance in phantoms. Results indicate that up to a nine-fold throughput improvement is possible without sacrificing image quality compared to standard single-animal imaging hardware. A DCE-MRI study throughput improvement of just over six times that achieved with conventional single-mouse imaging was realized. This system will lower the barriers for DCE-MRI in preclinical research and enable more thorough sampling of disease pathologies that progress rapidly over time. Advisors/Committee Members: Bankson, James A. (advisor), Hazle, John D. (advisor).

Subjects/Keywords: Magnetic resonance imaging; MRI; Imaging; Dynamic contrast-enhanced MRI; DCE-MRI; Parallel imaging; Cancer; Multiple-mouse MRI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ramirez, M. S. (2011). A 20-coil array system for high-throughput dynamic contrast-enhanced mouse MRI. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/20659

Chicago Manual of Style (16^th Edition):

Ramirez, Marc Stephen. “A 20-coil array system for high-throughput dynamic contrast-enhanced mouse MRI.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed March 05, 2021. http://hdl.handle.net/2152/20659.

MLA Handbook (7^th Edition):

Ramirez, Marc Stephen. “A 20-coil array system for high-throughput dynamic contrast-enhanced mouse MRI.” 2011. Web. 05 Mar 2021.

Vancouver:

Ramirez MS. A 20-coil array system for high-throughput dynamic contrast-enhanced mouse MRI. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/2152/20659.

Council of Science Editors:

Ramirez MS. A 20-coil array system for high-throughput dynamic contrast-enhanced mouse MRI. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/20659

University of Toronto

13. Lausch, Anthony. Nonrigid Registration of Dynamic Contrast-enhanced MRI Data using Motion Informed Intensity Corrections.

Degree: 2011, University of Toronto

URL: http://hdl.handle.net/1807/31294

►

Effective early detection and monitoring of patient response to cancer therapy is important for improved patient outcomes, avoiding unnecessary procedures and their associated toxicities, as… (more)

Subjects/Keywords: image registration; contrast-enhanced imaging; DCE-MRI; kidney; 0760

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APA (6^th Edition):

Lausch, A. (2011). Nonrigid Registration of Dynamic Contrast-enhanced MRI Data using Motion Informed Intensity Corrections. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/31294

Chicago Manual of Style (16^th Edition):

Lausch, Anthony. “Nonrigid Registration of Dynamic Contrast-enhanced MRI Data using Motion Informed Intensity Corrections.” 2011. Masters Thesis, University of Toronto. Accessed March 05, 2021. http://hdl.handle.net/1807/31294.

MLA Handbook (7^th Edition):

Lausch, Anthony. “Nonrigid Registration of Dynamic Contrast-enhanced MRI Data using Motion Informed Intensity Corrections.” 2011. Web. 05 Mar 2021.

Vancouver:

Lausch A. Nonrigid Registration of Dynamic Contrast-enhanced MRI Data using Motion Informed Intensity Corrections. [Internet] [Masters thesis]. University of Toronto; 2011. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1807/31294.

Council of Science Editors:

Lausch A. Nonrigid Registration of Dynamic Contrast-enhanced MRI Data using Motion Informed Intensity Corrections. [Masters Thesis]. University of Toronto; 2011. Available from: http://hdl.handle.net/1807/31294

University of Manchester

14. Banerji, Anita. Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours.

Degree: 2012, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:164828

► Dynamic contrast-enhanced (DCE) time series analysis techniques are hard to fully validate quantitatively as ground truth microvascular parameters are difficult to obtain from patient data.… (more)

▼ Dynamic contrast-enhanced (DCE) time series analysis techniques are hard to fully validate quantitatively as ground truth microvascular parameters are difficult to obtain from patient data. This thesis presents a software application for generating synthetic image data from known ground truth tracer kinetic model parameters. As an object oriented design has been employed to maximise flexibility and extensibility, the application can be extended to include different vascular input functions, tracer kinetic models and imaging modalities. Data sets can be generated for different anatomical and motion descriptions as well as different ground truth parameters. The application has been used to generate a synthetic DCE-MRI time series of a liver tumour with non-linear motion of the abdominal organs due to breathing.The utility of the synthetic data has been demonstrated in several applications: in the development of an Akaike model selection technique for assessing the spatially varying characteristics of liver tumours; the robustness of model fitting and model selection to noise, partial volume effects and breathing motion in liver tumours; and the benefit of using model-driven registration to compensate for breathing motion.When applied to synthetic data with appropriate noise levels, the Akaike model selection technique can distinguish between the single-input extended Kety model for tumour and the dual-input Materne model for liver, and is robust to motion. A significant difference between median Akaike probability value in tumour and liver regions is also seen in 5/6 acquired data sets, with the extended Kety model selected for tumour. Knowledge of the ground truth distribution for the synthetic data was used to demonstrate that, whilst median Ktrans does not change significantly due to breathing motion, model-driven registration restored the structure of the Ktrans histogram and so could be beneficial to tumour heterogeneity assessments. Advisors/Committee Members: WILLIAMS, STEPHEN SR, Williams, Stephen, Parker, Geoffrey.

Subjects/Keywords: DCE-MRI; liver metstases; synthetic data; model selection

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APA (6^th Edition):

Banerji, A. (2012). Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:164828

Chicago Manual of Style (16^th Edition):

Banerji, Anita. “Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours.” 2012. Doctoral Dissertation, University of Manchester. Accessed March 05, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:164828.

MLA Handbook (7^th Edition):

Banerji, Anita. “Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours.” 2012. Web. 05 Mar 2021.

Vancouver:

Banerji A. Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2021 Mar 05]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:164828.

Council of Science Editors:

Banerji A. Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours. [Doctoral Dissertation]. University of Manchester; 2012. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:164828

Stockholm University

15. Kanli, Georgia. Method for the classification of brain cancer treatment's responsiveness via physical parameters of DCE-MRI data.

Degree: Physics, 2015, Stockholm University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116822

► Tumors have several important hallmarks; anomalous and heterogeneous behaviors of their vascular structures, and high angiogenesis and neovascularization. Tumor tissue presents high blood flow… (more)

▼ Tumors have several important hallmarks; anomalous and heterogeneous behaviors of their vascular structures, and high angiogenesis and neovascularization. Tumor tissue presents high blood flow (F) and extraction ratio (E) of contrast molecules. Consequently there is growing interest in non invasive methods for characterizing changes in tumor vasculature. Toft's model has been extensively used in the past in order to calculate K^trans maps which take into consideration both F and E. However, in this thesis we argue that for accurate tumor characterization we need a model able to compute both F and E in tissue plasma. This project has been developed as part of a larger project, working toward building a Clinical Decision Support System (CDSS): an interactive expert computer software, that helps doctors and other health professionals make decisions regarding patient treatment progress. Using the Gamma Capillary Transit Time (GCTT) pharmacokinetic model we calculate F and E separately in a more realistic framework; unlike other models it takes into account the heterogeneity of the tumor, which depends on parameter a^-1. a^-1 is the width of the distribution of the capillary transit times within a tissue voxel. In more detail, a^-1 expresses the heterogeneity of tissue microcirculation and microvasculature. We studied 9 patients pathologically diagnosed with glioblastoma multiforme (GBM), a common malignant type of brain tumor. Several physiological parameters including the blood flow and extraction ratio distributions were calculated for each patient. Then we investigated if these parameters can characterize early the patients' responsiveness to current treatment; we assessed the classification potential based on the actual therapy outcome. To this end, we present a novel analysis framework which exploits the new parameter a^-1 and organizes each voxel into four sub-region. Our results indicate that early characterization of response based on GCCT can be significantly improved by focusing on tumor voxels from a specific sub-region.

Subjects/Keywords: DCE-MRI; pharmacokinetic modeling; perfusion imaging; brain tumor; patient classification

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APA (6^th Edition):

Kanli, G. (2015). Method for the classification of brain cancer treatment's responsiveness via physical parameters of DCE-MRI data. (Thesis). Stockholm University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116822

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kanli, Georgia. “Method for the classification of brain cancer treatment's responsiveness via physical parameters of DCE-MRI data.” 2015. Thesis, Stockholm University. Accessed March 05, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116822.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kanli, Georgia. “Method for the classification of brain cancer treatment's responsiveness via physical parameters of DCE-MRI data.” 2015. Web. 05 Mar 2021.

Vancouver:

Kanli G. Method for the classification of brain cancer treatment's responsiveness via physical parameters of DCE-MRI data. [Internet] [Thesis]. Stockholm University; 2015. [cited 2021 Mar 05]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116822.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kanli G. Method for the classification of brain cancer treatment's responsiveness via physical parameters of DCE-MRI data. [Thesis]. Stockholm University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116822

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Manchester

16. Banerji, Anita. Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours.

Degree: PhD, 2012, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/modelling-and-simulation-of-dynamic-contrastenhanced-mri-of-abdominal-tumours(be6807a7-014e-4c0b-8b1e-f836b1f8127d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764219

► Dynamic contrast-enhanced (DCE) time series analysis techniques are hard to fully validate quantitatively as ground truth microvascular parameters are difficult to obtain from patient data.… (more)

Subjects/Keywords: 616.99; DCE-MRI; liver metstases; synthetic data; model selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Banerji, A. (2012). Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/modelling-and-simulation-of-dynamic-contrastenhanced-mri-of-abdominal-tumours(be6807a7-014e-4c0b-8b1e-f836b1f8127d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764219

Chicago Manual of Style (16^th Edition):

Banerji, Anita. “Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours.” 2012. Doctoral Dissertation, University of Manchester. Accessed March 05, 2021. https://www.research.manchester.ac.uk/portal/en/theses/modelling-and-simulation-of-dynamic-contrastenhanced-mri-of-abdominal-tumours(be6807a7-014e-4c0b-8b1e-f836b1f8127d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764219.

MLA Handbook (7^th Edition):

Banerji, Anita. “Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours.” 2012. Web. 05 Mar 2021.

Vancouver:

Banerji A. Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2021 Mar 05]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/modelling-and-simulation-of-dynamic-contrastenhanced-mri-of-abdominal-tumours(be6807a7-014e-4c0b-8b1e-f836b1f8127d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764219.

Council of Science Editors:

Banerji A. Modelling and simulation of dynamic contrast-enhanced MRI of abdominal tumours. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/modelling-and-simulation-of-dynamic-contrastenhanced-mri-of-abdominal-tumours(be6807a7-014e-4c0b-8b1e-f836b1f8127d).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764219

Duke University

17. Wang, Chunhao. Radiotherapy Treatment Assessment using DCE-MRI .

Degree: 2016, Duke University

URL: http://hdl.handle.net/10161/12164

► Abstract The goal of modern radiotherapy is to precisely deliver a prescribed radiation dose to delineated target volumes that contain a significant amount of… (more)

Subjects/Keywords: Medical imaging; Oncology; DCE-MRI; functional imaging; Radiotherapy; Treatment Assessment

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, C. (2016). Radiotherapy Treatment Assessment using DCE-MRI . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/12164

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Chunhao. “Radiotherapy Treatment Assessment using DCE-MRI .” 2016. Thesis, Duke University. Accessed March 05, 2021. http://hdl.handle.net/10161/12164.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Chunhao. “Radiotherapy Treatment Assessment using DCE-MRI .” 2016. Web. 05 Mar 2021.

Vancouver:

Wang C. Radiotherapy Treatment Assessment using DCE-MRI . [Internet] [Thesis]. Duke University; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10161/12164.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang C. Radiotherapy Treatment Assessment using DCE-MRI . [Thesis]. Duke University; 2016. Available from: http://hdl.handle.net/10161/12164

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universiteit Utrecht

18. Intven, M.P.W. Functional MR imaging for response prediction in rectal cancer treatment.

Degree: 2015, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/313137

► The standard of care treatment for locally advanced rectal cancer is neoadjuvant chemoradiation followed by total mesorectal excision. In recent years, organ-sparing treatments, instead of… (more)

▼ The standard of care treatment for locally advanced rectal cancer is neoadjuvant chemoradiation followed by total mesorectal excision. In recent years, organ-sparing treatments, instead of standard total mesorectal excision, are gradually introduced in the treatment of rectal cancer for patients with good response after neoadjuvant therapy. However, patient selection for organ-sparing treatments is still challenging as no optimal restaging modality is available after neoadjuvant chemoradiation. This thesis examined the value of functional MR imaging in the prediction of favourable pathological response after neoadjuvant therapy to determine its role in the selection of patients for organ-sparing treatments. First, the good potential of diffusion weighted imaging for pathological response assessment was shown, both during neoadjuvant therapy and after neoadjuvant therapy. Successively, the repeatability of apparent diffusion coefficient values from the diffusion weighted imaging was assessed to be able to distinguish therapy related response from measurement variations. Second, the good potential of dynamic contrast enhanced imaging for the selection of good pathological responders after neoadjuvant therapy was shown. Finally, the additional value of combining both functional imaging techniques and tumour volumetry was assessed which showed the highest diagnostic accuracy for favourable treatment response with diffusion weighted imaging. T2 weighted volumetry had a limited additional diagnostic value and dynamic contrast enhanced imaging showed no additional diagnostic value to diffusion weighted imaging. In conclusion, this thesis showed the good predictive potential of functional MR imaging for favourable pathological response in locally advanced rectal cancer. Diffusion weighted imaging is most promising in response assessment and should be introduced in daily clinical practice for rectal cancer at this moment. This is the only way in which knowledge and experience can be obtained In order to be able to use the technique for selection of patients for organ-sparing treatments in rectal cancer in the near future. Advisors/Committee Members: Vulpen, M. van, Philippens, M.E.P., Reerink, O..

Subjects/Keywords: rectal cancer; DW-MRI; DCE-MRI; pathological response assessment; tumor regression grade

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APA (6^th Edition):

Intven, M. P. W. (2015). Functional MR imaging for response prediction in rectal cancer treatment. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/313137

Chicago Manual of Style (16^th Edition):

Intven, M P W. “Functional MR imaging for response prediction in rectal cancer treatment.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed March 05, 2021. http://dspace.library.uu.nl:8080/handle/1874/313137.

MLA Handbook (7^th Edition):

Intven, M P W. “Functional MR imaging for response prediction in rectal cancer treatment.” 2015. Web. 05 Mar 2021.

Vancouver:

Intven MPW. Functional MR imaging for response prediction in rectal cancer treatment. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2021 Mar 05]. Available from: http://dspace.library.uu.nl:8080/handle/1874/313137.

Council of Science Editors:

Intven MPW. Functional MR imaging for response prediction in rectal cancer treatment. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/313137

Universiteit Utrecht

19. Bouchefra, H. Breast Lesions Segmentation in Dynamic Contrast-Enhanced MR Images.

Degree: 2015, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/318911

► Breast cancer is a serious public health problem worldwide. An accurate segmentation of the breast lesion is important for clinical applications in monitoring tumor volume… (more)

Subjects/Keywords: breast; breast lesion; lesion; mri; dce-mri; dynamic contrast-enhanced; tumor; tumour; segmentation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bouchefra, H. (2015). Breast Lesions Segmentation in Dynamic Contrast-Enhanced MR Images. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/318911

Chicago Manual of Style (16^th Edition):

Bouchefra, H. “Breast Lesions Segmentation in Dynamic Contrast-Enhanced MR Images.” 2015. Masters Thesis, Universiteit Utrecht. Accessed March 05, 2021. http://dspace.library.uu.nl:8080/handle/1874/318911.

MLA Handbook (7^th Edition):

Bouchefra, H. “Breast Lesions Segmentation in Dynamic Contrast-Enhanced MR Images.” 2015. Web. 05 Mar 2021.

Vancouver:

Bouchefra H. Breast Lesions Segmentation in Dynamic Contrast-Enhanced MR Images. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2021 Mar 05]. Available from: http://dspace.library.uu.nl:8080/handle/1874/318911.

Council of Science Editors:

Bouchefra H. Breast Lesions Segmentation in Dynamic Contrast-Enhanced MR Images. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/318911

Freie Universität Berlin

20. Franiel, Tobias. histologic validation and clinical applications.

Degree: 2012, Freie Universität Berlin

URL: http://dx.doi.org/10.17169/refubium-14033

► Magnetic resonance imaging (MRI) of the prostate is currently the most accurate imaging modality for the localization and detection of prostate cancer. Conventional T2-weighted and… (more)

▼ Magnetic resonance imaging (MRI) of the prostate is currently the most accurate imaging modality for the localization and detection of prostate cancer. Conventional T2-weighted and T1-weighted pulse sequences have relatively good sensitivity and moderate specificity for prostate cancer. Specificity but also sensitivity can be improved by dynamic contrast-enhanced MRI (DCE-MRI). Signal intensities can be measured and converted to contrast medium concentrations, allowing the use of pharmacokinetic models for condensing the wealth of information provided by DCE-MRI into a small set of pharmacokinetic parameters of contrast medium inflow and extravasation. Inflow parameters include perfusion, blood volume, mean transit time, delay, and dispersion. Extravasation parameters are permeability, interstitial volume, and extraction coefficient. It is still an open question which of these parameters might be useful for differentiating abnormal from normal prostate tissue. To answer this question, in a first step, a new multi-compartment model was established for accurately and absolutely quantifying pharmacokinetic parameters. Optimal accuracy was achieved using a fast dual- contrast inversion recovery gradient echo sequence (1.65 s temporal resolution) with calculation of an individual arterial input function (AIF). Experimental model calculations in a group of 13 patients with biopsy-proven prostate cancer showed that the differentiation of prostate cancer and normal prostate tissue can be significantly improved by determining dispersion of the contrast medium bolus as an additional parameter (p < 0.001 to p = 0.028).The preliminary results of this study indicate that there are statistically significant differences between prostate cancer and normal prostate tissue for perfusion (p = 0.004), blood volume (p = 0.019), and mean transit time (p = 0,039). There are two clinically relevant subtypes of prostate cancer, low- grade and high-grade cancer, both of which must be differentiated from prostatitis. In a study including 27 patients, areas of prostate cancer, chronic prostatitis, and normal prostate tissue were identified on H&E-stained; whole-mount sections of prostatectomy specimens and compared with absolute pharmacokinetic parameters. Perfusion allowed differentiation of high-grade prostate cancer from chronic prostatitis (1.21ml/ cm3*min-1 vs. 0.90ml/ cm3*min-1; p = 0.041) but not of the less aggressive form, low-grade prostate cancer. None of the other parameters investigated allowed differentiation of these two entities. Differentiation from normal prostate tissue was also better for high-grade cancer compared with low-grade cancer. However, perfusion allowed differentiation of both low-grade prostate cancer (1.01 ml/cm3*min-1 vs. 0.26ml/cm3*min-1; p = 0.05) and high-grade prostate cancer (1.21ml/cm3*min-1 vs. 0.26ml/cm3*min-1; p < 0.001) from normal prostate tissue. Blood volume and mean transit time were also significantly different between high-grade prostate cancer and normal prostate tissue. Another study,… Advisors/Committee Members: [email protected] (contact), m (gender), Herr Prof. Dr. G. Adam / Hamburg (firstReferee), Herr Prof. Dr. H.-P. Schlemmer / Heidelberg (furtherReferee).

Subjects/Keywords: prostate; MRI; pharmacokinetic modells; DCE-MRI; 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit

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APA (6^th Edition):

Franiel, T. (2012). histologic validation and clinical applications. (Thesis). Freie Universität Berlin. Retrieved from http://dx.doi.org/10.17169/refubium-14033

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Franiel, Tobias. “histologic validation and clinical applications.” 2012. Thesis, Freie Universität Berlin. Accessed March 05, 2021. http://dx.doi.org/10.17169/refubium-14033.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Franiel, Tobias. “histologic validation and clinical applications.” 2012. Web. 05 Mar 2021.

Vancouver:

Franiel T. histologic validation and clinical applications. [Internet] [Thesis]. Freie Universität Berlin; 2012. [cited 2021 Mar 05]. Available from: http://dx.doi.org/10.17169/refubium-14033.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Franiel T. histologic validation and clinical applications. [Thesis]. Freie Universität Berlin; 2012. Available from: http://dx.doi.org/10.17169/refubium-14033

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Manchester

21. Horsley, Laura. Imaging biomarkers of the tumour microenvironment to assess early response in patients treated with anti-angiogenic therapy.

Degree: PhD, 2015, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-the-tumour-microenvironment-to-assess-early-response-in-patients-treated-with-antiangiogenic-therapy(b051dfc5-d3ec-44a7-8fb6-a641626f0f89).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664555

► Background: Angiogenesis is the process by which new blood vessels develop from existing vasculature and is a critical step in all tumours to facilitate growth… (more)

▼ Background: Angiogenesis is the process by which new blood vessels develop from existing vasculature and is a critical step in all tumours to facilitate growth beyond a few millimetres. As this process is largely inactive in physiological circumstances in adults, it represents an attractive therapeutic target in oncology. Drugs that target the angiogenic process are classified as anti-angiogenic agents. The first anti-angiogenic drug to be approved by the FDA was bevacizumab; a recombinant humanized monoclonal antibody against VEGF. Randomised studies in colorectal cancer (and other solid malignancies) have reported prolonged progression free survival and overall survival for bevacizumab. However, standard radiological criteria, Response Evaluation Criteria In Solid Tumours (RECIST), although widely employed to assess response to therapy in clinical trials, are generally insensitive to the predominantly cytostatic effects of anti-angiogenic and other targeted therapies. Alternative methods of predicting or assessing early response to such agents are needed, particularly given the cost and toxicity implications of such treatments. However, biomarkers to aid selection of patients for anti-angiogenic therapies, including bevacizumab, remain elusive. Purpose: To investigate Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI), Diffusion Weighted Imaging (DWI) and circulating angiocytokines, measured using an ELISA multiplex, as prognostic markers in patients with metastatic colorectal cancer treated with bevacizumab and chemotherapy. Results: Seventy patients were treated. DCE-MRI and DWI parameters showed good reproducibility with coefficient of variation between 3.7 to 23% for parameters. The median progression free survival, the primary end point of the trial, was 9.3 months. The overall response rate was 44%. The clinical variables which were significant for progression free survival on univariate analysis were: performance status (p=0.005), CEA (p=0.04) and serum LDH (p=0.005). Biomarkers which were significant for progression free survival on univariate analysis were serum VEGF-A (p=0.02), serum HGF (p=0.005), sVEGFR-2 (p=0.02). In each case, low values of the biomarker were associated with improved outcome. Multivariate analysis identified Ktrans (p=0.015), performance status (p=0.008) and serum HGF (p=0.003) as the most significant predictors of progression free survival. A prolonged progression free survival was associated with a good ECOG performance status, high Ktrans and low serum HGF.Conclusions: Whilst these results are encouraging, future work is required to establish whether HGF and Ktrans are prognostic markers for metastatic colorectal cancer and their precise role in the prediction of patients likely to benefit from treatment with bevacizumab.

Subjects/Keywords: 616.99; biomarker; angiogenesis; imaging; DCE-MRI; DWI-MRI; circulating angiocytokines; clinical trial; bevacizumab

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Horsley, L. (2015). Imaging biomarkers of the tumour microenvironment to assess early response in patients treated with anti-angiogenic therapy. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-the-tumour-microenvironment-to-assess-early-response-in-patients-treated-with-antiangiogenic-therapy(b051dfc5-d3ec-44a7-8fb6-a641626f0f89).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664555

Chicago Manual of Style (16^th Edition):

Horsley, Laura. “Imaging biomarkers of the tumour microenvironment to assess early response in patients treated with anti-angiogenic therapy.” 2015. Doctoral Dissertation, University of Manchester. Accessed March 05, 2021. https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-the-tumour-microenvironment-to-assess-early-response-in-patients-treated-with-antiangiogenic-therapy(b051dfc5-d3ec-44a7-8fb6-a641626f0f89).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664555.

MLA Handbook (7^th Edition):

Horsley, Laura. “Imaging biomarkers of the tumour microenvironment to assess early response in patients treated with anti-angiogenic therapy.” 2015. Web. 05 Mar 2021.

Vancouver:

Horsley L. Imaging biomarkers of the tumour microenvironment to assess early response in patients treated with anti-angiogenic therapy. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2021 Mar 05]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-the-tumour-microenvironment-to-assess-early-response-in-patients-treated-with-antiangiogenic-therapy(b051dfc5-d3ec-44a7-8fb6-a641626f0f89).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664555.

Council of Science Editors:

Horsley L. Imaging biomarkers of the tumour microenvironment to assess early response in patients treated with anti-angiogenic therapy. [Doctoral Dissertation]. University of Manchester; 2015. Available from: https://www.research.manchester.ac.uk/portal/en/theses/imaging-biomarkers-of-the-tumour-microenvironment-to-assess-early-response-in-patients-treated-with-antiangiogenic-therapy(b051dfc5-d3ec-44a7-8fb6-a641626f0f89).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664555

22. O'KEEFFE, EOIN. Blood-brain barrier response in the context of sports-related TBI.

Degree: School of Genetics & Microbiology. Discipline of Genetics, 2020, Trinity College Dublin

URL: http://hdl.handle.net/2262/91319

► Traumatic brain injury (TBI) is one of the largest causes of mortality and disability globally. The severity of TBI is clinically categorised into mild, moderate… (more)

▼ Traumatic brain injury (TBI) is one of the largest causes of mortality and disability globally. The severity of TBI is clinically categorised into mild, moderate and severe injuries. Moderate and severe TBI often present with clear diagnostic criteria, such as loss of consciousness, skull fractures and/ or structural damage to the brain detectable by neuroimaging modalities such as computed tomography (CT) or magnetic resonance imaging (MRI) scans. However, mild TBI (mTBI), which is thought to represent almost 70% of TBI cases, is often difficult to recognise. In contrast to moderate and severe TBI, mTBI is incurred by a non-penetrating blow to the head, which may or may not result in loss of consciousness, and by most definitions, does not display abnormal neuroimaging findings. The spontaneous resolution of symptoms has also led to the perception that mTBI is a benign condition with no lasting consequences. However, in recent years, several reports have detailed a dementia-like condition in athletes and military veterans exposed to repetitive mTBI during the course of their careers. The condition is currently called chronic traumatic encephalopathy (CTE) and bears a close resemblance to a dementia condition described in the 1930s found to be prevalent in boxers, termed 'dementia pugilistica' or 'Punch Drunk Syndrome'. While moderate and severe TBI is known as one of the largest environmental risk factors in developing dementia, the link between mTBI and development of dementia-like conditions remains to be fully characterised. Accumulating evidence suggests that changes to the neurovasculature and the integrity of the blood-brain barrier (BBB) are early events in the development of several neurodegenerative conditions. The BBB is a highly specialised structure that maintains homeostasis of the central nervous system by limiting the passage of blood-based agents in to and from the neural space. As BBB dysfunction (BBBD) is a known consequence of TBI at all severities, changes to BBB integrity may result from repetitive mTBI and represent an underlying risk in dementia development. However, the magnitude and significance of changes in BBB integrity over time due to mTBI have yet to be fully explored. In this study, changes in BBB integrity as a result of participation in contact sports was investigated. To that end, two of amateur rugby union teams were recruited to undergo an extensive baseline assessment prior to the start of the competitive season, as well as after the season's competition. A sub-group of individuals underwent assessment shortly after completion of a competitive rugby match, to investigate acute changes in the BBB v following exposure to mTBI. The assessment consisted of MRI screening for changes in BBB integrity via novel dynamic contrast-enhanced MRI (DCE-MRI) analysis techniques and changes in neuroanatomical structure via diffusion tensor imaging (DTI). Blood samples were also collected at the time of MRI scanning, allowing for matched screening of potential blood-based biomarkers of TBI, as… Advisors/Committee Members: Campbell, Matthew.

Subjects/Keywords: mTBI; Blood-brain barrier; mild traumatic brain injury; biomarker; blood-based biomarkers; MRI; DCE-MRI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

O'KEEFFE, E. (2020). Blood-brain barrier response in the context of sports-related TBI. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/91319

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

O'KEEFFE, EOIN. “Blood-brain barrier response in the context of sports-related TBI.” 2020. Thesis, Trinity College Dublin. Accessed March 05, 2021. http://hdl.handle.net/2262/91319.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

O'KEEFFE, EOIN. “Blood-brain barrier response in the context of sports-related TBI.” 2020. Web. 05 Mar 2021.

Vancouver:

O'KEEFFE E. Blood-brain barrier response in the context of sports-related TBI. [Internet] [Thesis]. Trinity College Dublin; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/2262/91319.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

O'KEEFFE E. Blood-brain barrier response in the context of sports-related TBI. [Thesis]. Trinity College Dublin; 2020. Available from: http://hdl.handle.net/2262/91319

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. 本多,, 絵美. Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI : ダイナミック乳腺MRIにおけるコンピュータ診断支援システムの構築.

Degree: 博士（医療科学）, 2017, SUZUKA UNIVERSITY OF MEDICAL SCIENCE / 鈴鹿医療科学大学

URL: http://id.nii.ac.jp/1343/00000030/

Subjects/Keywords: Computer-aided diagnosis; Mass; DCE-MRI; Computer-aided diagnosis; Mass; DCE-MRI

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APA (6^th Edition):

本多,, �. (2017). Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI : ダイナミック乳腺MRIにおけるコンピュータ診断支援システムの構築. (Thesis). SUZUKA UNIVERSITY OF MEDICAL SCIENCE / 鈴鹿医療科学大学. Retrieved from http://id.nii.ac.jp/1343/00000030/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

本多,, 絵美. “Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI : ダイナミック乳腺MRIにおけるコンピュータ診断支援システムの構築.” 2017. Thesis, SUZUKA UNIVERSITY OF MEDICAL SCIENCE / 鈴鹿医療科学大学. Accessed March 05, 2021. http://id.nii.ac.jp/1343/00000030/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

本多,, 絵美. “Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI : ダイナミック乳腺MRIにおけるコンピュータ診断支援システムの構築.” 2017. Web. 05 Mar 2021.

Vancouver:

本多, �. Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI : ダイナミック乳腺MRIにおけるコンピュータ診断支援システムの構築. [Internet] [Thesis]. SUZUKA UNIVERSITY OF MEDICAL SCIENCE / 鈴鹿医療科学大学; 2017. [cited 2021 Mar 05]. Available from: http://id.nii.ac.jp/1343/00000030/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

本多, �. Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI : ダイナミック乳腺MRIにおけるコンピュータ診断支援システムの構築. [Thesis]. SUZUKA UNIVERSITY OF MEDICAL SCIENCE / 鈴鹿医療科学大学; 2017. Available from: http://id.nii.ac.jp/1343/00000030/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

24. Bačovská, Kristýna. Porovnání farmakokinetických modelů pro DCE-MRI: Comparison of Pharmacokinetic models for DCE-MRI.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/177660

► This thesis deals with perfusion analysis using DCE-MRI (Dynamic contrast-enhanced magnetic resonance imaging). DCE-MRI is commonly used for microcirculation evaluation mainly in oncology and in… (more)

Subjects/Keywords: DCE-MRI; perfúzní analýza; farmakokinetické modely; arteriální vstupní funkce; impulzní reziduální funkce; syntetická data; PerfLab; DCE-MRI; perfusion analysis; pharmacokinetic models; arterial input function; impulse residue function; synthetic data; PerfLab

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bačovská, K. (2019). Porovnání farmakokinetických modelů pro DCE-MRI: Comparison of Pharmacokinetic models for DCE-MRI. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177660

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bačovská, Kristýna. “Porovnání farmakokinetických modelů pro DCE-MRI: Comparison of Pharmacokinetic models for DCE-MRI.” 2019. Thesis, Brno University of Technology. Accessed March 05, 2021. http://hdl.handle.net/11012/177660.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bačovská, Kristýna. “Porovnání farmakokinetických modelů pro DCE-MRI: Comparison of Pharmacokinetic models for DCE-MRI.” 2019. Web. 05 Mar 2021.

Vancouver:

Bačovská K. Porovnání farmakokinetických modelů pro DCE-MRI: Comparison of Pharmacokinetic models for DCE-MRI. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11012/177660.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bačovská K. Porovnání farmakokinetických modelů pro DCE-MRI: Comparison of Pharmacokinetic models for DCE-MRI. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177660

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

25. Filipová, Petra. Dávkové zpracování perfusometrických MRI dat: Batch processing of perfusometric MRI data.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/59841

► This diploma thesis deals with the DCE – MRI method (Dynamic contrast enhanced magnetic resonance imaging). Basic principle of magnetic resonance and pulse sequence is… (more)

Subjects/Keywords: DCE MRI; pulzní sekvence; perfuzní analýza; systém PerfLab; dávkové zpracování; aaTH; 2CXM; DCE MRI; pulse sequence; perfusion analysis; PerfLab system; batch processing; aaTH; 2CXM

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Filipová, P. (2019). Dávkové zpracování perfusometrických MRI dat: Batch processing of perfusometric MRI data. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/59841

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Filipová, Petra. “Dávkové zpracování perfusometrických MRI dat: Batch processing of perfusometric MRI data.” 2019. Thesis, Brno University of Technology. Accessed March 05, 2021. http://hdl.handle.net/11012/59841.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Filipová, Petra. “Dávkové zpracování perfusometrických MRI dat: Batch processing of perfusometric MRI data.” 2019. Web. 05 Mar 2021.

Vancouver:

Filipová P. Dávkové zpracování perfusometrických MRI dat: Batch processing of perfusometric MRI data. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11012/59841.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Filipová P. Dávkové zpracování perfusometrických MRI dat: Batch processing of perfusometric MRI data. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/59841

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

26. Šejnoha, Radim. Kontrastní MRI perfuzní zobrazování: Contrast MRI perfusion imaging.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/33250

► This semestral thesis is focused on contrast MRI perfusion imaging using method of Dynamic Contrast-Enhanced MRI. It describes basic principles of nuclear magnetic resonance and… (more)

Subjects/Keywords: Magnetická rezonance; DCE MRI; perfuzní zobrazování; pulzní sekvence; kontrastní látka; fantom; modely; Magnetic resonance; DCE MRI; perfusion imaging; puls sequences; contrast agent; phantom; models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Šejnoha, R. (2019). Kontrastní MRI perfuzní zobrazování: Contrast MRI perfusion imaging. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/33250

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Šejnoha, Radim. “Kontrastní MRI perfuzní zobrazování: Contrast MRI perfusion imaging.” 2019. Thesis, Brno University of Technology. Accessed March 05, 2021. http://hdl.handle.net/11012/33250.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Šejnoha, Radim. “Kontrastní MRI perfuzní zobrazování: Contrast MRI perfusion imaging.” 2019. Web. 05 Mar 2021.

Vancouver:

Šejnoha R. Kontrastní MRI perfuzní zobrazování: Contrast MRI perfusion imaging. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11012/33250.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Šejnoha R. Kontrastní MRI perfuzní zobrazování: Contrast MRI perfusion imaging. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/33250

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

27. Minsterová, Alžběta. Srovnání preklinických DCE-MRI perfusních technik: Comparison of the preclinical DCE-MRI perfusion techniques.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/59966

► This diploma thesis deals with DCE-MRI (Dynamic Contrast-Enhanced Magnetic Resonance Imaging) thus one of the contrast magnetic resonance imaging methods. It describes the principle of… (more)

Subjects/Keywords: DCE-MRI; T1 vážené obrazy; kontrastní vyšetření; dva boly kontrastní látky; prokládaná akvizice; magnetická rezonance; DCE-MRI; T1 weighted images; contrast-enhanced examination; dual bolus; interleaved acquisition; magnetic resonance imaging

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Minsterová, A. (2019). Srovnání preklinických DCE-MRI perfusních technik: Comparison of the preclinical DCE-MRI perfusion techniques. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/59966

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Minsterová, Alžběta. “Srovnání preklinických DCE-MRI perfusních technik: Comparison of the preclinical DCE-MRI perfusion techniques.” 2019. Thesis, Brno University of Technology. Accessed March 05, 2021. http://hdl.handle.net/11012/59966.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Minsterová, Alžběta. “Srovnání preklinických DCE-MRI perfusních technik: Comparison of the preclinical DCE-MRI perfusion techniques.” 2019. Web. 05 Mar 2021.

Vancouver:

Minsterová A. Srovnání preklinických DCE-MRI perfusních technik: Comparison of the preclinical DCE-MRI perfusion techniques. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11012/59966.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Minsterová A. Srovnání preklinických DCE-MRI perfusních technik: Comparison of the preclinical DCE-MRI perfusion techniques. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/59966

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

28. Šenkeřík, Vojtěch. Automatický výběr arteriální vstupní funkce pro metodu DCE-MRI: Automatic selection of the arterial input function for DCE-MRI method.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/40774

► This thesis is aim to automatic detection of arterial pixels with use a method DCE-MRI. The first part of the essay occupy with literary search… (more)

Subjects/Keywords: Arteriální vstupní funkce; magnetická rezonance; DCE-MRI; Matlab; kontrastní látky; hematoencefalická bariéra; Arterial input function; magnetic resonance; DCE-MRI; Matlab; contrast agents; blood-brain barrier

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Šenkeřík, V. (2019). Automatický výběr arteriální vstupní funkce pro metodu DCE-MRI: Automatic selection of the arterial input function for DCE-MRI method. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/40774

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Šenkeřík, Vojtěch. “Automatický výběr arteriální vstupní funkce pro metodu DCE-MRI: Automatic selection of the arterial input function for DCE-MRI method.” 2019. Thesis, Brno University of Technology. Accessed March 05, 2021. http://hdl.handle.net/11012/40774.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Šenkeřík, Vojtěch. “Automatický výběr arteriální vstupní funkce pro metodu DCE-MRI: Automatic selection of the arterial input function for DCE-MRI method.” 2019. Web. 05 Mar 2021.

Vancouver:

Šenkeřík V. Automatický výběr arteriální vstupní funkce pro metodu DCE-MRI: Automatic selection of the arterial input function for DCE-MRI method. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11012/40774.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Šenkeřík V. Automatický výběr arteriální vstupní funkce pro metodu DCE-MRI: Automatic selection of the arterial input function for DCE-MRI method. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/40774

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

29. Krátká, Lucie. Akvizice MRI obrazových sekvencí pro preklinické perfusní zobrazování: MRI Acquisition of Image Sequences for Preclinical Perfusion Imaging.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/11904

► The task of this thesis is to study methods for the acquisition perfusní imaging based on dynamic MR imaging with T1 contrast. It describes methods… (more)

Subjects/Keywords: DCE MRI; gradientní echo; FLASH; turboFLASH; kontrastní látka; statický a dynamický fantom; AIF; DCE MRI; gradient echo; FLASH; turboFLASH; contrast agent; static and dynamic phantom; AIF

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Krátká, L. (2019). Akvizice MRI obrazových sekvencí pro preklinické perfusní zobrazování: MRI Acquisition of Image Sequences for Preclinical Perfusion Imaging. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/11904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Krátká, Lucie. “Akvizice MRI obrazových sekvencí pro preklinické perfusní zobrazování: MRI Acquisition of Image Sequences for Preclinical Perfusion Imaging.” 2019. Thesis, Brno University of Technology. Accessed March 05, 2021. http://hdl.handle.net/11012/11904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Krátká, Lucie. “Akvizice MRI obrazových sekvencí pro preklinické perfusní zobrazování: MRI Acquisition of Image Sequences for Preclinical Perfusion Imaging.” 2019. Web. 05 Mar 2021.

Vancouver:

Krátká L. Akvizice MRI obrazových sekvencí pro preklinické perfusní zobrazování: MRI Acquisition of Image Sequences for Preclinical Perfusion Imaging. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11012/11904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krátká L. Akvizice MRI obrazových sekvencí pro preklinické perfusní zobrazování: MRI Acquisition of Image Sequences for Preclinical Perfusion Imaging. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/11904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

30. Wang , Yuan-Huei. Texture feature analysis for breast cancer dynamic MRI images.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-165810

► Cancer has been the number one cause of death in Taiwan for thirty years. Currently, breast cancer ranks number 4 on the list of all… (more)

Subjects/Keywords: breast tumor; DCE-MRI; texture analysis; breast cancer; statistical analysis; neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang , Y. (2014). Texture feature analysis for breast cancer dynamic MRI images. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-165810

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang , Yuan-Huei. “Texture feature analysis for breast cancer dynamic MRI images.” 2014. Thesis, NSYSU. Accessed March 05, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-165810.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang , Yuan-Huei. “Texture feature analysis for breast cancer dynamic MRI images.” 2014. Web. 05 Mar 2021.

Vancouver:

Wang Y. Texture feature analysis for breast cancer dynamic MRI images. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Mar 05]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-165810.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Y. Texture feature analysis for breast cancer dynamic MRI images. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-165810

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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