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You searched for subject:(Quantitative susceptibility mapping). Showing records 1 – 26 of 26 total matches.

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1. Liu, Juan. Deep Learning for Quantitative Susceptibility Mapping Reconstruction.

Degree: 2020, Marquette University

Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique that estimates tissue magnetic susceptibility from Larmor frequency offset measurements. The generation of QSM… (more)

Subjects/Keywords: deep learning; quantitative susceptibility mapping; Engineering

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

APA (6th Edition):

Liu, J. (2020). Deep Learning for Quantitative Susceptibility Mapping Reconstruction. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/dissertations_mu/1049

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

Chicago Manual of Style (16th Edition):

Liu, Juan. “Deep Learning for Quantitative Susceptibility Mapping Reconstruction.” 2020. Thesis, Marquette University. Accessed April 18, 2021. https://epublications.marquette.edu/dissertations_mu/1049.

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

MLA Handbook (7th Edition):

Liu, Juan. “Deep Learning for Quantitative Susceptibility Mapping Reconstruction.” 2020. Web. 18 Apr 2021.

Vancouver:

Liu J. Deep Learning for Quantitative Susceptibility Mapping Reconstruction. [Internet] [Thesis]. Marquette University; 2020. [cited 2021 Apr 18]. Available from: https://epublications.marquette.edu/dissertations_mu/1049.

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

Council of Science Editors:

Liu J. Deep Learning for Quantitative Susceptibility Mapping Reconstruction. [Thesis]. Marquette University; 2020. Available from: https://epublications.marquette.edu/dissertations_mu/1049

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


Cornell University

2. Zhang, Jingwei. MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING.

Degree: PhD, Biomedical Engineering, 2017, Cornell University

 Magnetic resonance imaging (MRI) is a noninvasive technique that allows imaging three dimensional volume through the body, providing superior soft tissue contrast compared to CT… (more)

Subjects/Keywords: Quantitative Susceptibility Mapping; Biomedical engineering; Magnetic Resonance Imaging; Magnetic Susceptibility; Quantitative Cerebral Oxygen Metabolism Mapping

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

APA (6th Edition):

Zhang, J. (2017). MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/51594

Chicago Manual of Style (16th Edition):

Zhang, Jingwei. “MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING.” 2017. Doctoral Dissertation, Cornell University. Accessed April 18, 2021. http://hdl.handle.net/1813/51594.

MLA Handbook (7th Edition):

Zhang, Jingwei. “MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING.” 2017. Web. 18 Apr 2021.

Vancouver:

Zhang J. MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING. [Internet] [Doctoral dissertation]. Cornell University; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1813/51594.

Council of Science Editors:

Zhang J. MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING. [Doctoral Dissertation]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/51594


Cornell University

3. Wen, Yan. METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI.

Degree: PhD, Biomedical Engineering, 2020, Cornell University

 Magnetic Resonance Imaging (MRI) is a powerful noninvasive medical imaging technique capable of volumetric imaging at an arbitrary plane. Another feature of MRI is its… (more)

Subjects/Keywords: Cardiovascular; Inverse Problem; Magnetic resonance imaging; Quantitative Susceptibility Mapping

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APA (6th Edition):

Wen, Y. (2020). METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/70405

Chicago Manual of Style (16th Edition):

Wen, Yan. “METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI.” 2020. Doctoral Dissertation, Cornell University. Accessed April 18, 2021. http://hdl.handle.net/1813/70405.

MLA Handbook (7th Edition):

Wen, Yan. “METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI.” 2020. Web. 18 Apr 2021.

Vancouver:

Wen Y. METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1813/70405.

Council of Science Editors:

Wen Y. METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/70405


Cornell University

4. Liu, Tian. Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging.

Degree: PhD, Biomedical Engineering, 2011, Cornell University

 Magnetic susceptibility is an intrinsic tissue property that reflects underlying concentration of iron, calcification or contrast agents, which are useful for the investigation of a… (more)

Subjects/Keywords: quantitative susceptibility mapping; magnetic resonance imaging; inverse problem

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APA (6th Edition):

Liu, T. (2011). Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33481

Chicago Manual of Style (16th Edition):

Liu, Tian. “Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging.” 2011. Doctoral Dissertation, Cornell University. Accessed April 18, 2021. http://hdl.handle.net/1813/33481.

MLA Handbook (7th Edition):

Liu, Tian. “Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging.” 2011. Web. 18 Apr 2021.

Vancouver:

Liu T. Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1813/33481.

Council of Science Editors:

Liu T. Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33481


McMaster University

5. Stillo, David. Microstructural Analysis of Mild Traumatic Brain Injury in Pediatrics Using Diffusion Tensor Imaging and Quantitative Susceptibility Mapping.

Degree: MASc, 2016, McMaster University

Each year in the United States, approximately 1.35 million people are a ected by mTBI (aka concussion) and subsequent cognitive impairment. Approximately 33% of mTBI… (more)

Subjects/Keywords: MRI; Diffusion Tensor Imaging; Quantitative Susceptibility Mapping; mild traumatic brain injury

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

APA (6th Edition):

Stillo, D. (2016). Microstructural Analysis of Mild Traumatic Brain Injury in Pediatrics Using Diffusion Tensor Imaging and Quantitative Susceptibility Mapping. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20399

Chicago Manual of Style (16th Edition):

Stillo, David. “Microstructural Analysis of Mild Traumatic Brain Injury in Pediatrics Using Diffusion Tensor Imaging and Quantitative Susceptibility Mapping.” 2016. Masters Thesis, McMaster University. Accessed April 18, 2021. http://hdl.handle.net/11375/20399.

MLA Handbook (7th Edition):

Stillo, David. “Microstructural Analysis of Mild Traumatic Brain Injury in Pediatrics Using Diffusion Tensor Imaging and Quantitative Susceptibility Mapping.” 2016. Web. 18 Apr 2021.

Vancouver:

Stillo D. Microstructural Analysis of Mild Traumatic Brain Injury in Pediatrics Using Diffusion Tensor Imaging and Quantitative Susceptibility Mapping. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/11375/20399.

Council of Science Editors:

Stillo D. Microstructural Analysis of Mild Traumatic Brain Injury in Pediatrics Using Diffusion Tensor Imaging and Quantitative Susceptibility Mapping. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20399

6. Wang, Chaoyue. Quantitative Susceptibility Mapping of Atherosclerosis in Carotid Arteries.

Degree: MASc, 2017, McMaster University

Carotid atherosclerosis, one of the leading causes of ischemic stroke worldwide, can induce severe narrowing or even occlusion of the vessel, restricting blood flow to… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Quantitative Susceptibility Mapping; Carotid Atherosclerosis

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APA (6th Edition):

Wang, C. (2017). Quantitative Susceptibility Mapping of Atherosclerosis in Carotid Arteries. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/21049

Chicago Manual of Style (16th Edition):

Wang, Chaoyue. “Quantitative Susceptibility Mapping of Atherosclerosis in Carotid Arteries.” 2017. Masters Thesis, McMaster University. Accessed April 18, 2021. http://hdl.handle.net/11375/21049.

MLA Handbook (7th Edition):

Wang, Chaoyue. “Quantitative Susceptibility Mapping of Atherosclerosis in Carotid Arteries.” 2017. Web. 18 Apr 2021.

Vancouver:

Wang C. Quantitative Susceptibility Mapping of Atherosclerosis in Carotid Arteries. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/11375/21049.

Council of Science Editors:

Wang C. Quantitative Susceptibility Mapping of Atherosclerosis in Carotid Arteries. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/21049


Penn State University

7. Hagenah, Kristen E. CHARACTERIZATION OF AGED THROMBI THROUGH MRI AND HISTOLOGICAL ANALYSIS OF ERYTHROCYTE GHOST CLOTS.

Degree: 2017, Penn State University

 Every year about 735,000 people in the United States have a myocardial infarction (MI) and about 20% of post myocardial infarction patients develop left ventricular… (more)

Subjects/Keywords: Ghost Cells; Quantitative Susceptibility Mapping; Left Ventricular Thrombus

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APA (6th Edition):

Hagenah, K. E. (2017). CHARACTERIZATION OF AGED THROMBI THROUGH MRI AND HISTOLOGICAL ANALYSIS OF ERYTHROCYTE GHOST CLOTS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13915keh5461

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

Chicago Manual of Style (16th Edition):

Hagenah, Kristen E. “CHARACTERIZATION OF AGED THROMBI THROUGH MRI AND HISTOLOGICAL ANALYSIS OF ERYTHROCYTE GHOST CLOTS.” 2017. Thesis, Penn State University. Accessed April 18, 2021. https://submit-etda.libraries.psu.edu/catalog/13915keh5461.

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

MLA Handbook (7th Edition):

Hagenah, Kristen E. “CHARACTERIZATION OF AGED THROMBI THROUGH MRI AND HISTOLOGICAL ANALYSIS OF ERYTHROCYTE GHOST CLOTS.” 2017. Web. 18 Apr 2021.

Vancouver:

Hagenah KE. CHARACTERIZATION OF AGED THROMBI THROUGH MRI AND HISTOLOGICAL ANALYSIS OF ERYTHROCYTE GHOST CLOTS. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 18]. Available from: https://submit-etda.libraries.psu.edu/catalog/13915keh5461.

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

Council of Science Editors:

Hagenah KE. CHARACTERIZATION OF AGED THROMBI THROUGH MRI AND HISTOLOGICAL ANALYSIS OF ERYTHROCYTE GHOST CLOTS. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13915keh5461

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


University of Western Ontario

8. Rudko, David A. Quantitative Susceptibility Imaging of Tissue Microstructure Using Ultra-High Field MRI.

Degree: 2014, University of Western Ontario

 This thesis has used ultra-high field (UHF) magnetic resonance imaging (MRI) to investigate the fundamental relationships between tissue microstructure and such susceptibility-based contrast parameters as… (more)

Subjects/Keywords: myelin; iron; quantitative susceptibility mapping; apparent transverse relaxation rate; Medical Biophysics

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APA (6th Edition):

Rudko, D. A. (2014). Quantitative Susceptibility Imaging of Tissue Microstructure Using Ultra-High Field MRI. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/1922

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

Chicago Manual of Style (16th Edition):

Rudko, David A. “Quantitative Susceptibility Imaging of Tissue Microstructure Using Ultra-High Field MRI.” 2014. Thesis, University of Western Ontario. Accessed April 18, 2021. https://ir.lib.uwo.ca/etd/1922.

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

MLA Handbook (7th Edition):

Rudko, David A. “Quantitative Susceptibility Imaging of Tissue Microstructure Using Ultra-High Field MRI.” 2014. Web. 18 Apr 2021.

Vancouver:

Rudko DA. Quantitative Susceptibility Imaging of Tissue Microstructure Using Ultra-High Field MRI. [Internet] [Thesis]. University of Western Ontario; 2014. [cited 2021 Apr 18]. Available from: https://ir.lib.uwo.ca/etd/1922.

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

Council of Science Editors:

Rudko DA. Quantitative Susceptibility Imaging of Tissue Microstructure Using Ultra-High Field MRI. [Thesis]. University of Western Ontario; 2014. Available from: https://ir.lib.uwo.ca/etd/1922

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


University of Cambridge

9. Ruetten, Pascal. Magnetic resonance imaging of susceptibility effects in carotid atherosclerosis.

Degree: PhD, 2020, University of Cambridge

 This thesis explores the use of susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM), to characterize carotid artery plaques with and without the use of… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Carotid Artery; Atherosclerosis; Quantitative Susceptibility Mapping

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

APA (6th Edition):

Ruetten, P. (2020). Magnetic resonance imaging of susceptibility effects in carotid atherosclerosis. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.63233 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.821651

Chicago Manual of Style (16th Edition):

Ruetten, Pascal. “Magnetic resonance imaging of susceptibility effects in carotid atherosclerosis.” 2020. Doctoral Dissertation, University of Cambridge. Accessed April 18, 2021. https://doi.org/10.17863/CAM.63233 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.821651.

MLA Handbook (7th Edition):

Ruetten, Pascal. “Magnetic resonance imaging of susceptibility effects in carotid atherosclerosis.” 2020. Web. 18 Apr 2021.

Vancouver:

Ruetten P. Magnetic resonance imaging of susceptibility effects in carotid atherosclerosis. [Internet] [Doctoral dissertation]. University of Cambridge; 2020. [cited 2021 Apr 18]. Available from: https://doi.org/10.17863/CAM.63233 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.821651.

Council of Science Editors:

Ruetten P. Magnetic resonance imaging of susceptibility effects in carotid atherosclerosis. [Doctoral Dissertation]. University of Cambridge; 2020. Available from: https://doi.org/10.17863/CAM.63233 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.821651


University of Cambridge

10. Ruetten, Pascal. Magnetic Resonance Imaging of Susceptibility Effects in Carotid Atherosclerosis.

Degree: PhD, 2020, University of Cambridge

 This thesis explores the use of susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM), to characterize carotid artery plaques with and without the use of… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Carotid Artery; Atherosclerosis; Quantitative Susceptibility Mapping

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

APA (6th Edition):

Ruetten, P. (2020). Magnetic Resonance Imaging of Susceptibility Effects in Carotid Atherosclerosis. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/316124

Chicago Manual of Style (16th Edition):

Ruetten, Pascal. “Magnetic Resonance Imaging of Susceptibility Effects in Carotid Atherosclerosis.” 2020. Doctoral Dissertation, University of Cambridge. Accessed April 18, 2021. https://www.repository.cam.ac.uk/handle/1810/316124.

MLA Handbook (7th Edition):

Ruetten, Pascal. “Magnetic Resonance Imaging of Susceptibility Effects in Carotid Atherosclerosis.” 2020. Web. 18 Apr 2021.

Vancouver:

Ruetten P. Magnetic Resonance Imaging of Susceptibility Effects in Carotid Atherosclerosis. [Internet] [Doctoral dissertation]. University of Cambridge; 2020. [cited 2021 Apr 18]. Available from: https://www.repository.cam.ac.uk/handle/1810/316124.

Council of Science Editors:

Ruetten P. Magnetic Resonance Imaging of Susceptibility Effects in Carotid Atherosclerosis. [Doctoral Dissertation]. University of Cambridge; 2020. Available from: https://www.repository.cam.ac.uk/handle/1810/316124

11. Buch, Sagar. A Novel Method to Improve Quantitative Susceptibility Mapping with an Application for Measuring Changes in Brain Oxygen Saturation in the Presence of Caffeine and Diamox.

Degree: PhD, 2015, McMaster University

 Magnetic Resonance Imaging (MRI) is a widely used, non-invasive imaging technique that provides a means to reveal structural and functional information of different body tissues… (more)

Subjects/Keywords: Quantitative Susceptibility mapping; sinus mapping; magnetic resonance imaging; oxygen extraction fraction; venous oxygen saturation

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APA (6th Edition):

Buch, S. (2015). A Novel Method to Improve Quantitative Susceptibility Mapping with an Application for Measuring Changes in Brain Oxygen Saturation in the Presence of Caffeine and Diamox. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/18309

Chicago Manual of Style (16th Edition):

Buch, Sagar. “A Novel Method to Improve Quantitative Susceptibility Mapping with an Application for Measuring Changes in Brain Oxygen Saturation in the Presence of Caffeine and Diamox.” 2015. Doctoral Dissertation, McMaster University. Accessed April 18, 2021. http://hdl.handle.net/11375/18309.

MLA Handbook (7th Edition):

Buch, Sagar. “A Novel Method to Improve Quantitative Susceptibility Mapping with an Application for Measuring Changes in Brain Oxygen Saturation in the Presence of Caffeine and Diamox.” 2015. Web. 18 Apr 2021.

Vancouver:

Buch S. A Novel Method to Improve Quantitative Susceptibility Mapping with an Application for Measuring Changes in Brain Oxygen Saturation in the Presence of Caffeine and Diamox. [Internet] [Doctoral dissertation]. McMaster University; 2015. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/11375/18309.

Council of Science Editors:

Buch S. A Novel Method to Improve Quantitative Susceptibility Mapping with an Application for Measuring Changes in Brain Oxygen Saturation in the Presence of Caffeine and Diamox. [Doctoral Dissertation]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18309


Duke University

12. Dibb, Russell. Probing Tissue Microstructure Using Susceptibility Contrast Magnetic Resonance Imaging .

Degree: 2016, Duke University

  Magnetic resonance imaging is a research and clinical tool that has been applied in a wide variety of sciences. One area of magnetic resonance… (more)

Subjects/Keywords: Medical imaging; Biomedical engineering; magnetic resonance imaging; quantitative susceptibility mapping; resonance frequency shift; susceptibility anisotropy; susceptibility tensor imaging; tissue modeling

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APA (6th Edition):

Dibb, R. (2016). Probing Tissue Microstructure Using Susceptibility Contrast Magnetic Resonance Imaging . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/12158

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

Chicago Manual of Style (16th Edition):

Dibb, Russell. “Probing Tissue Microstructure Using Susceptibility Contrast Magnetic Resonance Imaging .” 2016. Thesis, Duke University. Accessed April 18, 2021. http://hdl.handle.net/10161/12158.

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

MLA Handbook (7th Edition):

Dibb, Russell. “Probing Tissue Microstructure Using Susceptibility Contrast Magnetic Resonance Imaging .” 2016. Web. 18 Apr 2021.

Vancouver:

Dibb R. Probing Tissue Microstructure Using Susceptibility Contrast Magnetic Resonance Imaging . [Internet] [Thesis]. Duke University; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10161/12158.

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

Council of Science Editors:

Dibb R. Probing Tissue Microstructure Using Susceptibility Contrast Magnetic Resonance Imaging . [Thesis]. Duke University; 2016. Available from: http://hdl.handle.net/10161/12158

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


University of Illinois – Urbana-Champaign

13. Ngo, Giang-Chau. Model-based reconstruction for correcting magnetic susceptibility-induced artifacts in magnetic resonance imaging.

Degree: PhD, Bioengineering, 2018, University of Illinois – Urbana-Champaign

 While magnetic susceptibility is an essential contrast mechanism in magnetic resonance imaging (MRI), it also causes significant disruptions to the imaging process. Strong differences in… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Magnetic susceptibility; Magnetic field inhomogeneity; Model-based imaging reconstruction; Functional MRI; R2* estimation; Quantitative susceptibility mapping

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APA (6th Edition):

Ngo, G. (2018). Model-based reconstruction for correcting magnetic susceptibility-induced artifacts in magnetic resonance imaging. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101258

Chicago Manual of Style (16th Edition):

Ngo, Giang-Chau. “Model-based reconstruction for correcting magnetic susceptibility-induced artifacts in magnetic resonance imaging.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 18, 2021. http://hdl.handle.net/2142/101258.

MLA Handbook (7th Edition):

Ngo, Giang-Chau. “Model-based reconstruction for correcting magnetic susceptibility-induced artifacts in magnetic resonance imaging.” 2018. Web. 18 Apr 2021.

Vancouver:

Ngo G. Model-based reconstruction for correcting magnetic susceptibility-induced artifacts in magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2142/101258.

Council of Science Editors:

Ngo G. Model-based reconstruction for correcting magnetic susceptibility-induced artifacts in magnetic resonance imaging. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101258


Cornell University

14. Cho, Junghun. BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN.

Degree: PhD, Biomedical Engineering, 2019, Cornell University

 Cerebral metabolic rate of oxygen (CMRO2) and oxygen extraction fraction (OEF) are valuable to investigate tissue viability and function. Numerous magnetic resonance imainge (MRI) methods… (more)

Subjects/Keywords: cerebral metabolic rate of oxygen; magnetic resonance imaging; oxygen extraction fraction; QSM+qBOLD; quantitative BOLD; quantitative susceptibility mapping

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APA (6th Edition):

Cho, J. (2019). BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/70058

Chicago Manual of Style (16th Edition):

Cho, Junghun. “BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN.” 2019. Doctoral Dissertation, Cornell University. Accessed April 18, 2021. http://hdl.handle.net/1813/70058.

MLA Handbook (7th Edition):

Cho, Junghun. “BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN.” 2019. Web. 18 Apr 2021.

Vancouver:

Cho J. BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN. [Internet] [Doctoral dissertation]. Cornell University; 2019. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1813/70058.

Council of Science Editors:

Cho J. BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN. [Doctoral Dissertation]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/70058

15. Sun, Hongfu. Quantitative Susceptibility Mapping in Human Brain: Methods Development and Applications.

Degree: PhD, Department of Biomedical Engineering, 2015, University of Alberta

Quantitative susceptibility mapping (QSM) is an emerging magnetic resonance imaging (MRI) method that provides image contrast based on an important underlying brain tissue property. It… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Quantitative Susceptibility Mapping

…3 VALIDATION OF QUANTITATIVE SUSCEPTIBILITY MAPPING WITH PERLS’ IRON STAINING FOR… …66 4 QUANTITATIVE SUSCEPTIBILITY MAPPING USING SINGLE-SHOT ECHOPLANAR IMAGING… …100 viii 6 QUANTITATIVE SUSCEPTIBILITY MAPPING USING A SUPERPOSED DIPOLE INVERSION METHOD… …limitations make phase imaging difficult to interpret, and quantitative susceptibility mapping (… …Space. (Wang Y and Liu T, MRM 2015) 1.4 Quantitative Susceptibility Mapping (… 

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APA (6th Edition):

Sun, H. (2015). Quantitative Susceptibility Mapping in Human Brain: Methods Development and Applications. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/r781wj620

Chicago Manual of Style (16th Edition):

Sun, Hongfu. “Quantitative Susceptibility Mapping in Human Brain: Methods Development and Applications.” 2015. Doctoral Dissertation, University of Alberta. Accessed April 18, 2021. https://era.library.ualberta.ca/files/r781wj620.

MLA Handbook (7th Edition):

Sun, Hongfu. “Quantitative Susceptibility Mapping in Human Brain: Methods Development and Applications.” 2015. Web. 18 Apr 2021.

Vancouver:

Sun H. Quantitative Susceptibility Mapping in Human Brain: Methods Development and Applications. [Internet] [Doctoral dissertation]. University of Alberta; 2015. [cited 2021 Apr 18]. Available from: https://era.library.ualberta.ca/files/r781wj620.

Council of Science Editors:

Sun H. Quantitative Susceptibility Mapping in Human Brain: Methods Development and Applications. [Doctoral Dissertation]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/r781wj620

16. Liu, Saifeng. Technical Improvements in Quantitative Susceptibility Mapping.

Degree: PhD, 2014, McMaster University

Quantitative susceptibility mapping (QSM) is a promising technique to study tissue properties and function in vivo. The presence of a susceptibility source will lead… (more)

Subjects/Keywords: Quantitative susceptibility mapping; phase imaging; background field removal; inverse problem; tSWI; magnetic moment; Biomedical Engineering and Bioengineering; Biomedical Engineering and Bioengineering

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APA (6th Edition):

Liu, S. (2014). Technical Improvements in Quantitative Susceptibility Mapping. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/14036

Chicago Manual of Style (16th Edition):

Liu, Saifeng. “Technical Improvements in Quantitative Susceptibility Mapping.” 2014. Doctoral Dissertation, McMaster University. Accessed April 18, 2021. http://hdl.handle.net/11375/14036.

MLA Handbook (7th Edition):

Liu, Saifeng. “Technical Improvements in Quantitative Susceptibility Mapping.” 2014. Web. 18 Apr 2021.

Vancouver:

Liu S. Technical Improvements in Quantitative Susceptibility Mapping. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/11375/14036.

Council of Science Editors:

Liu S. Technical Improvements in Quantitative Susceptibility Mapping. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/14036


Leiden University

17. Boers, Laurens. Characterizing iron-oxide nanoparticles in the human brain.

Degree: 2018, Leiden University

 In this study, we employed several methods to characterize iron-oxide nanoparticles using SQUID magnetometry and MRI. With SQUID magnetometry, we measured the Isothermal Remanent Magnetization… (more)

Subjects/Keywords: SQUID; MRI; ORS-FISP; Human brain; C. Elegans; magnetite; ferritin; Quantitative Susceptibility Mapping; Isothermal Remanent Magnetization

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APA (6th Edition):

Boers, L. (2018). Characterizing iron-oxide nanoparticles in the human brain. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/72503

Chicago Manual of Style (16th Edition):

Boers, Laurens. “Characterizing iron-oxide nanoparticles in the human brain.” 2018. Masters Thesis, Leiden University. Accessed April 18, 2021. http://hdl.handle.net/1887/72503.

MLA Handbook (7th Edition):

Boers, Laurens. “Characterizing iron-oxide nanoparticles in the human brain.” 2018. Web. 18 Apr 2021.

Vancouver:

Boers L. Characterizing iron-oxide nanoparticles in the human brain. [Internet] [Masters thesis]. Leiden University; 2018. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1887/72503.

Council of Science Editors:

Boers L. Characterizing iron-oxide nanoparticles in the human brain. [Masters Thesis]. Leiden University; 2018. Available from: http://hdl.handle.net/1887/72503


Texas Medical Center

18. Jacobsen, Megan C. Identification of Intracranial Lesions with Dual-Energy Computed Tomography and Magnetic Resonance Phase Imaging.

Degree: PhD, 2018, Texas Medical Center

  On conventional Single-energy Computed Tomography (SECT), lesions with an attenuation greater than 100 Hounsfield Units (HU) can be definitively diagnosed as calcification. However, low-density… (more)

Subjects/Keywords: Dual-Energy Computed Tomography; Magnetic Resonance Phase Imaging; Quantitative Susceptibility Mapping; Intracranial Hemorrhage; Intracranial Calcification; Medicine and Health Sciences; Other Physics

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APA (6th Edition):

Jacobsen, M. C. (2018). Identification of Intracranial Lesions with Dual-Energy Computed Tomography and Magnetic Resonance Phase Imaging. (Doctoral Dissertation). Texas Medical Center. Retrieved from https://digitalcommons.library.tmc.edu/utgsbs_dissertations/881

Chicago Manual of Style (16th Edition):

Jacobsen, Megan C. “Identification of Intracranial Lesions with Dual-Energy Computed Tomography and Magnetic Resonance Phase Imaging.” 2018. Doctoral Dissertation, Texas Medical Center. Accessed April 18, 2021. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/881.

MLA Handbook (7th Edition):

Jacobsen, Megan C. “Identification of Intracranial Lesions with Dual-Energy Computed Tomography and Magnetic Resonance Phase Imaging.” 2018. Web. 18 Apr 2021.

Vancouver:

Jacobsen MC. Identification of Intracranial Lesions with Dual-Energy Computed Tomography and Magnetic Resonance Phase Imaging. [Internet] [Doctoral dissertation]. Texas Medical Center; 2018. [cited 2021 Apr 18]. Available from: https://digitalcommons.library.tmc.edu/utgsbs_dissertations/881.

Council of Science Editors:

Jacobsen MC. Identification of Intracranial Lesions with Dual-Energy Computed Tomography and Magnetic Resonance Phase Imaging. [Doctoral Dissertation]. Texas Medical Center; 2018. Available from: https://digitalcommons.library.tmc.edu/utgsbs_dissertations/881


Wayne State University

19. Ghassaban, Kiarash. Quantitative Assessment Of Brain Iron Content As A Function Of Age Using Magnetic Resonance Imaging.

Degree: MS, Biomedical Engineering, 2016, Wayne State University

  As the most abundant transition metal in the brain, iron is known to play a key role in a variety of functional and cellular… (more)

Subjects/Keywords: Brain Iron; Deep Gray Matter; Ferritin; Quantitative Susceptibility Mapping (QSM); Two-Region Analysis (RII); Bioimaging and Biomedical Optics

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APA (6th Edition):

Ghassaban, K. (2016). Quantitative Assessment Of Brain Iron Content As A Function Of Age Using Magnetic Resonance Imaging. (Masters Thesis). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_theses/523

Chicago Manual of Style (16th Edition):

Ghassaban, Kiarash. “Quantitative Assessment Of Brain Iron Content As A Function Of Age Using Magnetic Resonance Imaging.” 2016. Masters Thesis, Wayne State University. Accessed April 18, 2021. https://digitalcommons.wayne.edu/oa_theses/523.

MLA Handbook (7th Edition):

Ghassaban, Kiarash. “Quantitative Assessment Of Brain Iron Content As A Function Of Age Using Magnetic Resonance Imaging.” 2016. Web. 18 Apr 2021.

Vancouver:

Ghassaban K. Quantitative Assessment Of Brain Iron Content As A Function Of Age Using Magnetic Resonance Imaging. [Internet] [Masters thesis]. Wayne State University; 2016. [cited 2021 Apr 18]. Available from: https://digitalcommons.wayne.edu/oa_theses/523.

Council of Science Editors:

Ghassaban K. Quantitative Assessment Of Brain Iron Content As A Function Of Age Using Magnetic Resonance Imaging. [Masters Thesis]. Wayne State University; 2016. Available from: https://digitalcommons.wayne.edu/oa_theses/523


Duke University

20. Xie, Luke. Magnetic Resonance Imaging Biomarkers of Renal Structure and Function .

Degree: 2014, Duke University

  The kidney's major role in filtration depends on its high blood flow, concentrating mechanisms, and biochemical activation. The kidney's greatest strengths also lead to… (more)

Subjects/Keywords: Biomedical engineering; Medical imaging and radiology; Physiology; Applied sciences; Health and environmental sciences; kidney renal system; magnetic resonance imaging; quantitative susceptibility mapping; susceptibility tensor imaging

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APA (6th Edition):

Xie, L. (2014). Magnetic Resonance Imaging Biomarkers of Renal Structure and Function . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/9030

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

Chicago Manual of Style (16th Edition):

Xie, Luke. “Magnetic Resonance Imaging Biomarkers of Renal Structure and Function .” 2014. Thesis, Duke University. Accessed April 18, 2021. http://hdl.handle.net/10161/9030.

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

MLA Handbook (7th Edition):

Xie, Luke. “Magnetic Resonance Imaging Biomarkers of Renal Structure and Function .” 2014. Web. 18 Apr 2021.

Vancouver:

Xie L. Magnetic Resonance Imaging Biomarkers of Renal Structure and Function . [Internet] [Thesis]. Duke University; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10161/9030.

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

Council of Science Editors:

Xie L. Magnetic Resonance Imaging Biomarkers of Renal Structure and Function . [Thesis]. Duke University; 2014. Available from: http://hdl.handle.net/10161/9030

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


Wright State University

21. Gharabaghi, Sara. Quantitative Susceptibility Mapping (QSM) Reconstruction from MRI Phase Data.

Degree: PhD, Computer Science and Engineering PhD, 2020, Wright State University

Quantitative susceptibility mapping (QSM) is a powerful technique that reveals changes in the underlying tissue susceptibility distribution. It can be used to measure the concentrations… (more)

Subjects/Keywords: Computer Science; quantitative susceptibility mapping; QSM; constrained image reconstruction; gradient recalled echo phase data; GRE phase data; ill-posed inverse problem; strategically acquired gradient echo imaging; STAGE imaging

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

APA (6th Edition):

Gharabaghi, S. (2020). Quantitative Susceptibility Mapping (QSM) Reconstruction from MRI Phase Data. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1610018553822445

Chicago Manual of Style (16th Edition):

Gharabaghi, Sara. “Quantitative Susceptibility Mapping (QSM) Reconstruction from MRI Phase Data.” 2020. Doctoral Dissertation, Wright State University. Accessed April 18, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1610018553822445.

MLA Handbook (7th Edition):

Gharabaghi, Sara. “Quantitative Susceptibility Mapping (QSM) Reconstruction from MRI Phase Data.” 2020. Web. 18 Apr 2021.

Vancouver:

Gharabaghi S. Quantitative Susceptibility Mapping (QSM) Reconstruction from MRI Phase Data. [Internet] [Doctoral dissertation]. Wright State University; 2020. [cited 2021 Apr 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1610018553822445.

Council of Science Editors:

Gharabaghi S. Quantitative Susceptibility Mapping (QSM) Reconstruction from MRI Phase Data. [Doctoral Dissertation]. Wright State University; 2020. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1610018553822445


Leiden University

22. Bulk, M. The iron brain: Post-mortem and in vivo imaging of iron in brain diseases.

Degree: 2021, Leiden University

  This thesis aimed to gain more insight into the role of iron in neurodegenerative diseases using high-field MRI. I investigated the pathological correlates of… (more)

Subjects/Keywords: MRI; Iron; Quantitative susceptibility mapping; Alzheimer's disease; Neuroinflammation; Myelin; Protein aggregation

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

APA (6th Edition):

Bulk, M. (2021). The iron brain: Post-mortem and in vivo imaging of iron in brain diseases. (Doctoral Dissertation). Leiden University. Retrieved from http://hdl.handle.net/1887/3147341

Chicago Manual of Style (16th Edition):

Bulk, M. “The iron brain: Post-mortem and in vivo imaging of iron in brain diseases.” 2021. Doctoral Dissertation, Leiden University. Accessed April 18, 2021. http://hdl.handle.net/1887/3147341.

MLA Handbook (7th Edition):

Bulk, M. “The iron brain: Post-mortem and in vivo imaging of iron in brain diseases.” 2021. Web. 18 Apr 2021.

Vancouver:

Bulk M. The iron brain: Post-mortem and in vivo imaging of iron in brain diseases. [Internet] [Doctoral dissertation]. Leiden University; 2021. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1887/3147341.

Council of Science Editors:

Bulk M. The iron brain: Post-mortem and in vivo imaging of iron in brain diseases. [Doctoral Dissertation]. Leiden University; 2021. Available from: http://hdl.handle.net/1887/3147341


Lincoln University

23. Burrows, Lucynda Emma Ruth. Molecular genetics of flystrike susceptibility in New Zealand sheep.

Degree: 2018, Lincoln University

 Flystrike is a problem for most sheep industries worldwide as it affects animal welfare and production. The cost of flystrike is multifactorial, and includes production… (more)

Subjects/Keywords: flystrike; sheep; FABP4; FBLN1; TLR4; RASGRP1; ABCC11; disease resistance; disease susceptibility; 070707 Veterinary Microbiology (excl. Virology); 070205 Animal Protection (Pests and Pathogens); 060802 Animal Cell and Molecular Biology; 060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)

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APA (6th Edition):

Burrows, L. E. R. (2018). Molecular genetics of flystrike susceptibility in New Zealand sheep. (Thesis). Lincoln University. Retrieved from http://hdl.handle.net/10182/10274

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

Chicago Manual of Style (16th Edition):

Burrows, Lucynda Emma Ruth. “Molecular genetics of flystrike susceptibility in New Zealand sheep.” 2018. Thesis, Lincoln University. Accessed April 18, 2021. http://hdl.handle.net/10182/10274.

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

MLA Handbook (7th Edition):

Burrows, Lucynda Emma Ruth. “Molecular genetics of flystrike susceptibility in New Zealand sheep.” 2018. Web. 18 Apr 2021.

Vancouver:

Burrows LER. Molecular genetics of flystrike susceptibility in New Zealand sheep. [Internet] [Thesis]. Lincoln University; 2018. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10182/10274.

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

Council of Science Editors:

Burrows LER. Molecular genetics of flystrike susceptibility in New Zealand sheep. [Thesis]. Lincoln University; 2018. Available from: http://hdl.handle.net/10182/10274

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


University of Queensland

24. Sood, Surabhi. Measuring tissue variations in the human brain using quantitative MRI.

Degree: Queensland Brain Institute, 2019, University of Queensland

Subjects/Keywords: Ultra-high field MRI; Quantitative susceptibility mapping; Phase imaging; Echo time dependence; Phase unwrapping; Orientation in phase imaging; 0299 Other Physical Sciences; 1109 Neurosciences

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APA (6th Edition):

Sood, S. (2019). Measuring tissue variations in the human brain using quantitative MRI. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:713

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

Chicago Manual of Style (16th Edition):

Sood, Surabhi. “Measuring tissue variations in the human brain using quantitative MRI.” 2019. Thesis, University of Queensland. Accessed April 18, 2021. http://espace.library.uq.edu.au/view/UQ:713.

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

MLA Handbook (7th Edition):

Sood, Surabhi. “Measuring tissue variations in the human brain using quantitative MRI.” 2019. Web. 18 Apr 2021.

Vancouver:

Sood S. Measuring tissue variations in the human brain using quantitative MRI. [Internet] [Thesis]. University of Queensland; 2019. [cited 2021 Apr 18]. Available from: http://espace.library.uq.edu.au/view/UQ:713.

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

Council of Science Editors:

Sood S. Measuring tissue variations in the human brain using quantitative MRI. [Thesis]. University of Queensland; 2019. Available from: http://espace.library.uq.edu.au/view/UQ:713

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


University of Queensland

25. Kadamangudi, Shrinath. Exploring the utility of GRE-MRI signal compartments for temporal susceptibility mapping and investigation of neural microstructure.

Degree: Queensland Brain Institute, 2018, University of Queensland

Subjects/Keywords: Magnetic Resonance Imaging (MRI); Ultra high-field; Gradient recalled echo (GRE) MRI; Signal compartments; Frequency shift; Quantitative susceptibility mapping; Tissue microstructure; 0104 Statistics; 1004 Medical Biotechnology; 1109 Neurosciences

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APA (6th Edition):

Kadamangudi, S. (2018). Exploring the utility of GRE-MRI signal compartments for temporal susceptibility mapping and investigation of neural microstructure. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:725691

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

Chicago Manual of Style (16th Edition):

Kadamangudi, Shrinath. “Exploring the utility of GRE-MRI signal compartments for temporal susceptibility mapping and investigation of neural microstructure.” 2018. Thesis, University of Queensland. Accessed April 18, 2021. http://espace.library.uq.edu.au/view/UQ:725691.

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

MLA Handbook (7th Edition):

Kadamangudi, Shrinath. “Exploring the utility of GRE-MRI signal compartments for temporal susceptibility mapping and investigation of neural microstructure.” 2018. Web. 18 Apr 2021.

Vancouver:

Kadamangudi S. Exploring the utility of GRE-MRI signal compartments for temporal susceptibility mapping and investigation of neural microstructure. [Internet] [Thesis]. University of Queensland; 2018. [cited 2021 Apr 18]. Available from: http://espace.library.uq.edu.au/view/UQ:725691.

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

Council of Science Editors:

Kadamangudi S. Exploring the utility of GRE-MRI signal compartments for temporal susceptibility mapping and investigation of neural microstructure. [Thesis]. University of Queensland; 2018. Available from: http://espace.library.uq.edu.au/view/UQ:725691

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

26. Rochon-Coutu, Sébastien. Imagerie par susceptibilité magnétique appliquée aux seins.

Degree: 2014, Université de Montréal

Subjects/Keywords: Imagerie par résonance magnétique; Sein; Cartographie de la susceptibilité magnétique; Détection; Microcalcification; Régularisation; Magnetic resonance imaging; Breast; Cancer; Quantitative susceptibility mapping; Detection; Microcalcification; Regularization; Health Sciences - Radiology / Sciences de la santé - Radiologie (UMI : 0574)

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APA (6th Edition):

Rochon-Coutu, S. (2014). Imagerie par susceptibilité magnétique appliquée aux seins. (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/10716

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

Chicago Manual of Style (16th Edition):

Rochon-Coutu, Sébastien. “Imagerie par susceptibilité magnétique appliquée aux seins.” 2014. Thesis, Université de Montréal. Accessed April 18, 2021. http://hdl.handle.net/1866/10716.

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

MLA Handbook (7th Edition):

Rochon-Coutu, Sébastien. “Imagerie par susceptibilité magnétique appliquée aux seins.” 2014. Web. 18 Apr 2021.

Vancouver:

Rochon-Coutu S. Imagerie par susceptibilité magnétique appliquée aux seins. [Internet] [Thesis]. Université de Montréal; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1866/10716.

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

Council of Science Editors:

Rochon-Coutu S. Imagerie par susceptibilité magnétique appliquée aux seins. [Thesis]. Université de Montréal; 2014. Available from: http://hdl.handle.net/1866/10716

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

.