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You searched for `subject:(Statistical Image Reconstruction)`

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Showing records 1 – 26 of
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University of Michigan

1.
Long, Yong.
*Statistical**Image* *Reconstruction* and Motion Estimation for *Image*-Guided Radiotherapy.

Degree: PhD, Electrical Engineering: Systems, 2011, University of Michigan

URL: http://hdl.handle.net/2027.42/86254

► *Image* *reconstruction* and motion estimation are very important for *image*-guided radiotherapy (IGRT). Three-dimensional *reconstruction* of patient anatomy using X-ray computed tomography (CT) allows identification of…
(more)

Subjects/Keywords: X-Ray CT; Statistical Image Reconstruction; Image-Guided Radiotherapy; Image Registration; Forward and Back-projection; Dual-Energy CT; Electrical Engineering; Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Long, Y. (2011). Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86254

Chicago Manual of Style (16^{th} Edition):

Long, Yong. “Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy.” 2011. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/86254.

MLA Handbook (7^{th} Edition):

Long, Yong. “Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy.” 2011. Web. 20 Jan 2021.

Vancouver:

Long Y. Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/86254.

Council of Science Editors:

Long Y. Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86254

University of Florida

2.
Posirca, Iulia M.
Variational Models for Simultaneous *Image* Segmentation and Noise Removal.

Degree: PhD, Mathematics, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044953

► We present two projects for simultaneous *image* segmentation and noise removal. The first project concerns the images corrupted with Gaussian noise and the second one…
(more)

Subjects/Keywords: Data smoothing; Image processing; Image reconstruction; Imaging; Mathematics; Modeling; Pixels; Statistical models; Supernova remnants; Ultrasonography; image – noise – segmentation – variational

Record Details Similar Records

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

APA (6^{th} Edition):

Posirca, I. M. (2012). Variational Models for Simultaneous Image Segmentation and Noise Removal. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044953

Chicago Manual of Style (16^{th} Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Doctoral Dissertation, University of Florida. Accessed January 20, 2021. https://ufdc.ufl.edu/UFE0044953.

MLA Handbook (7^{th} Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Web. 20 Jan 2021.

Vancouver:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Jan 20]. Available from: https://ufdc.ufl.edu/UFE0044953.

Council of Science Editors:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044953

University of Manitoba

3. Teimoorisichani, Mohammadreza. Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging.

Degree: Physics and Astronomy, 2019, University of Manitoba

URL: http://hdl.handle.net/1993/34107

► A positron emission tomography (PET) insert with a compact ring diameter is currently under design by our group. The PET insert is a brain-dedicated scanner…
(more)

Subjects/Keywords: PET; Positron emission tomography; Statistical image reconstruction; Scintillation detector; Depth-of-interaction; Dual-layer offset

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APA (6^{th} Edition):

Teimoorisichani, M. (2019). Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34107

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):

Teimoorisichani, Mohammadreza. “Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging.” 2019. Thesis, University of Manitoba. Accessed January 20, 2021. http://hdl.handle.net/1993/34107.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Teimoorisichani, Mohammadreza. “Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging.” 2019. Web. 20 Jan 2021.

Vancouver:

Teimoorisichani M. Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging. [Internet] [Thesis]. University of Manitoba; 2019. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1993/34107.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Teimoorisichani M. Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging. [Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34107

Not specified: Masters Thesis or Doctoral Dissertation

University of Notre Dame

4.
Zhiqian Chang.
*Statistical**Reconstruction* and Simultaneous Parameter
Estimation for Iterative X-ray Computed
Tomography</h1>.

Degree: Electrical Engineering, 2017, University of Notre Dame

URL: https://curate.nd.edu/show/41687h16c89

► *Statistical* iterative *image* *reconstruction* methods for X-ray computed tomography (CT) have, over the past few years, shown promise in maintaining diagnostic *image* quality across…
(more)

Subjects/Keywords: Adaptive Regularization; Joint Estimation; Statistical Modeling; Computed Tomography; Image Reconstruction; Bayesian Inference

Record Details Similar Records

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APA (6^{th} Edition):

Chang, Z. (2017). Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/41687h16c89

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chang, Zhiqian. “Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>.” 2017. Thesis, University of Notre Dame. Accessed January 20, 2021. https://curate.nd.edu/show/41687h16c89.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chang, Zhiqian. “Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>.” 2017. Web. 20 Jan 2021.

Vancouver:

Chang Z. Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>. [Internet] [Thesis]. University of Notre Dame; 2017. [cited 2021 Jan 20]. Available from: https://curate.nd.edu/show/41687h16c89.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang Z. Statistical Reconstruction and Simultaneous Parameter Estimation for Iterative X-ray Computed Tomography</h1>. [Thesis]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/41687h16c89

Not specified: Masters Thesis or Doctoral Dissertation

University of Michigan

5.
Ahn, Sangtae.
Convergent algorithms for *statistical* *image* *reconstruction* in emission tomography.

Degree: PhD, Electrical engineering, 2004, University of Michigan

URL: http://hdl.handle.net/2027.42/124609

► Emission computed tomography (ECT), including positron emission tomography (PET) and single photon emission computed tomography (SPECT), is a medical imaging technique that provides functional information…
(more)

Subjects/Keywords: Convergent Algorithms; Emission Tomography; Medical Imaging; Statistical Image Reconstruction

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APA (6^{th} Edition):

Ahn, S. (2004). Convergent algorithms for statistical image reconstruction in emission tomography. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124609

Chicago Manual of Style (16^{th} Edition):

Ahn, Sangtae. “Convergent algorithms for statistical image reconstruction in emission tomography.” 2004. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/124609.

MLA Handbook (7^{th} Edition):

Ahn, Sangtae. “Convergent algorithms for statistical image reconstruction in emission tomography.” 2004. Web. 20 Jan 2021.

Vancouver:

Ahn S. Convergent algorithms for statistical image reconstruction in emission tomography. [Internet] [Doctoral dissertation]. University of Michigan; 2004. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/124609.

Council of Science Editors:

Ahn S. Convergent algorithms for statistical image reconstruction in emission tomography. [Doctoral Dissertation]. University of Michigan; 2004. Available from: http://hdl.handle.net/2027.42/124609

Washington University in St. Louis

6. Zhang, Shuangyue. Basis Vector Model Method for Proton Stopping Power Estimation using Dual-Energy Computed Tomography.

Degree: PhD, Electrical & Systems Engineering, 2018, Washington University in St. Louis

URL: https://openscholarship.wustl.edu/eng_etds/395

► Accurate estimation of the proton stopping power ratio (SPR) is important for treatment planning and dose prediction for proton beam therapy. The state-of-the-art clinical…
(more)

Subjects/Keywords: dual-energy computed tomography; proton stopping power; statistical image reconstruction; Bioimaging and Biomedical Optics; Electrical and Electronics

Record Details Similar Records

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APA (6^{th} Edition):

Zhang, S. (2018). Basis Vector Model Method for Proton Stopping Power Estimation using Dual-Energy Computed Tomography. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/395

Chicago Manual of Style (16^{th} Edition):

Zhang, Shuangyue. “Basis Vector Model Method for Proton Stopping Power Estimation using Dual-Energy Computed Tomography.” 2018. Doctoral Dissertation, Washington University in St. Louis. Accessed January 20, 2021. https://openscholarship.wustl.edu/eng_etds/395.

MLA Handbook (7^{th} Edition):

Zhang, Shuangyue. “Basis Vector Model Method for Proton Stopping Power Estimation using Dual-Energy Computed Tomography.” 2018. Web. 20 Jan 2021.

Vancouver:

Zhang S. Basis Vector Model Method for Proton Stopping Power Estimation using Dual-Energy Computed Tomography. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2018. [cited 2021 Jan 20]. Available from: https://openscholarship.wustl.edu/eng_etds/395.

Council of Science Editors:

Zhang S. Basis Vector Model Method for Proton Stopping Power Estimation using Dual-Energy Computed Tomography. [Doctoral Dissertation]. Washington University in St. Louis; 2018. Available from: https://openscholarship.wustl.edu/eng_etds/395

University of Waterloo

7.
Mohebi, Azadeh.
* Statistical* Fusion of Scientific Images.

Degree: 2009, University of Waterloo

URL: http://hdl.handle.net/10012/4582

► A practical and important class of scientific images are the 2D/3D images obtained from porous materials such as concretes, bone, active carbon, and glass. These…
(more)

Subjects/Keywords: Statistical Fusion; Porous Media; Image Reconstruction; Sampling; Resolution Enhancement

Record Details Similar Records

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APA (6^{th} Edition):

Mohebi, A. (2009). Statistical Fusion of Scientific Images. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4582

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mohebi, Azadeh. “Statistical Fusion of Scientific Images.” 2009. Thesis, University of Waterloo. Accessed January 20, 2021. http://hdl.handle.net/10012/4582.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mohebi, Azadeh. “Statistical Fusion of Scientific Images.” 2009. Web. 20 Jan 2021.

Vancouver:

Mohebi A. Statistical Fusion of Scientific Images. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10012/4582.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mohebi A. Statistical Fusion of Scientific Images. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4582

Not specified: Masters Thesis or Doctoral Dissertation

Freie Universität Berlin

8.
Huizing-Kusitzky, Lea Heleen.
Adaptive *statistical* iterative *reconstruction* (ASIR) in head CT-improvement of
*image* quality und reduction of radiation dose.

Degree: 2018, Freie Universität Berlin

URL: http://dx.doi.org/10.17169/refubium-8550

► Worldwide, the number of CT scans has risen sharply in recent years, especially in emergency settings. This has resulted in a rapidly increasing exposure of…
(more)

Subjects/Keywords: Iterative reconstruction (IR); adaptive statistical iterative reconstruction (ASIR); effective dose (ED); image quality; 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit

Record Details Similar Records

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

APA (6^{th} Edition):

Huizing-Kusitzky, L. H. (2018). Adaptive statistical iterative reconstruction (ASIR) in head CT-improvement of image quality und reduction of radiation dose. (Thesis). Freie Universität Berlin. Retrieved from http://dx.doi.org/10.17169/refubium-8550

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Huizing-Kusitzky, Lea Heleen. “Adaptive statistical iterative reconstruction (ASIR) in head CT-improvement of image quality und reduction of radiation dose.” 2018. Thesis, Freie Universität Berlin. Accessed January 20, 2021. http://dx.doi.org/10.17169/refubium-8550.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Huizing-Kusitzky, Lea Heleen. “Adaptive statistical iterative reconstruction (ASIR) in head CT-improvement of image quality und reduction of radiation dose.” 2018. Web. 20 Jan 2021.

Vancouver:

Huizing-Kusitzky LH. Adaptive statistical iterative reconstruction (ASIR) in head CT-improvement of image quality und reduction of radiation dose. [Internet] [Thesis]. Freie Universität Berlin; 2018. [cited 2021 Jan 20]. Available from: http://dx.doi.org/10.17169/refubium-8550.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huizing-Kusitzky LH. Adaptive statistical iterative reconstruction (ASIR) in head CT-improvement of image quality und reduction of radiation dose. [Thesis]. Freie Universität Berlin; 2018. Available from: http://dx.doi.org/10.17169/refubium-8550

Not specified: Masters Thesis or Doctoral Dissertation

Universiteit Utrecht

9.
Zbijewski, Wojciech Bartosz.
Model-based *image* *reconstruction* in X-ray computed tomography.

Degree: 2006, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/9678

► The thesis investigates the applications of iterative, *statistical* *reconstruction* (SR) algorithms in X-ray Computed Tomography. Emphasis is put on various aspects of system modeling in…
(more)

Subjects/Keywords: Geneeskunde; imaging; computed tomography; micro-CT; image reconstruction; maximum likelihood; statistical reconstruction; Monte Carlo simulation; scatter; image artifacts; image quality

Record Details Similar Records

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

APA (6^{th} Edition):

Zbijewski, W. B. (2006). Model-based image reconstruction in X-ray computed tomography. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/9678

Chicago Manual of Style (16^{th} Edition):

Zbijewski, Wojciech Bartosz. “Model-based image reconstruction in X-ray computed tomography.” 2006. Doctoral Dissertation, Universiteit Utrecht. Accessed January 20, 2021. http://dspace.library.uu.nl:8080/handle/1874/9678.

MLA Handbook (7^{th} Edition):

Zbijewski, Wojciech Bartosz. “Model-based image reconstruction in X-ray computed tomography.” 2006. Web. 20 Jan 2021.

Vancouver:

Zbijewski WB. Model-based image reconstruction in X-ray computed tomography. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2006. [cited 2021 Jan 20]. Available from: http://dspace.library.uu.nl:8080/handle/1874/9678.

Council of Science Editors:

Zbijewski WB. Model-based image reconstruction in X-ray computed tomography. [Doctoral Dissertation]. Universiteit Utrecht; 2006. Available from: http://dspace.library.uu.nl:8080/handle/1874/9678

10.
Zbijewski, Wojciech Bartosz.
Model-based *image* *reconstruction* in X-ray computed tomography.

Degree: 2006, University Utrecht

URL: https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; urn:isbn:90-393-4264-4 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678

► The thesis investigates the applications of iterative, *statistical* *reconstruction* (SR) algorithms in X-ray Computed Tomography. Emphasis is put on various aspects of system modeling in…
(more)

Subjects/Keywords: imaging; computed tomography; micro-CT; image reconstruction; maximum likelihood; statistical reconstruction; Monte Carlo simulation; scatter; image artifacts; image quality

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Zbijewski, W. B. (2006). Model-based image reconstruction in X-ray computed tomography. (Doctoral Dissertation). University Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; urn:isbn:90-393-4264-4 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678

Chicago Manual of Style (16^{th} Edition):

Zbijewski, Wojciech Bartosz. “Model-based image reconstruction in X-ray computed tomography.” 2006. Doctoral Dissertation, University Utrecht. Accessed January 20, 2021. https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; urn:isbn:90-393-4264-4 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678.

MLA Handbook (7^{th} Edition):

Zbijewski, Wojciech Bartosz. “Model-based image reconstruction in X-ray computed tomography.” 2006. Web. 20 Jan 2021.

Vancouver:

Zbijewski WB. Model-based image reconstruction in X-ray computed tomography. [Internet] [Doctoral dissertation]. University Utrecht; 2006. [cited 2021 Jan 20]. Available from: https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; urn:isbn:90-393-4264-4 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678.

Council of Science Editors:

Zbijewski WB. Model-based image reconstruction in X-ray computed tomography. [Doctoral Dissertation]. University Utrecht; 2006. Available from: https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; urn:isbn:90-393-4264-4 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678

11.
Zbijewski, Wojciech Bartosz.
Model-based *image* *reconstruction* in X-ray computed tomography.

Degree: 2006, University Utrecht

URL: https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; 1874/9678 ; urn:isbn:9039342644 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678

► The thesis investigates the applications of iterative, *statistical* *reconstruction* (SR) algorithms in X-ray Computed Tomography. Emphasis is put on various aspects of system modeling in…
(more)

Subjects/Keywords: imaging; computed tomography; micro-CT; image reconstruction; maximum likelihood; statistical reconstruction; Monte Carlo simulation; scatter; image artifacts; image quality

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Zbijewski, W. B. (2006). Model-based image reconstruction in X-ray computed tomography. (Doctoral Dissertation). University Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; 1874/9678 ; urn:isbn:9039342644 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678

Chicago Manual of Style (16^{th} Edition):

Zbijewski, Wojciech Bartosz. “Model-based image reconstruction in X-ray computed tomography.” 2006. Doctoral Dissertation, University Utrecht. Accessed January 20, 2021. https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; 1874/9678 ; urn:isbn:9039342644 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678.

MLA Handbook (7^{th} Edition):

Zbijewski, Wojciech Bartosz. “Model-based image reconstruction in X-ray computed tomography.” 2006. Web. 20 Jan 2021.

Vancouver:

Zbijewski WB. Model-based image reconstruction in X-ray computed tomography. [Internet] [Doctoral dissertation]. University Utrecht; 2006. [cited 2021 Jan 20]. Available from: https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; 1874/9678 ; urn:isbn:9039342644 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678.

Council of Science Editors:

Zbijewski WB. Model-based image reconstruction in X-ray computed tomography. [Doctoral Dissertation]. University Utrecht; 2006. Available from: https://dspace.library.uu.nl/handle/1874/9678 ; URN:NBN:NL:UI:10-1874-9678 ; 1874/9678 ; urn:isbn:9039342644 ; URN:NBN:NL:UI:10-1874-9678 ; https://dspace.library.uu.nl/handle/1874/9678

12. Mohy-ud-Din, Hassan. Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography.

Degree: 2015, Johns Hopkins University

URL: http://jhir.library.jhu.edu/handle/1774.2/37900

► This thesis will focus on two important aspects of dynamic Positron Emission Tomography (PET): (i) Motion-compensation , and (ii) Pharmacokinetic analysis (also called parametric imaging)…
(more)

Subjects/Keywords: Positron Emission Tomography; Motion Correction; Parametric Imaging; Kinetic Modeling; Molecular Imaging; Pharmacokinetic Analysis; Dual-biomarker Imaging; Cardiovascular Imaging; Myocardial Perfusion PET; Physiological Clustering; Robust Parameter Estimation; Statistical Image Reconstruction; Direct 4-D Image Reconstruction; Resolution Modeling

Record Details Similar Records

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

APA (6^{th} Edition):

Mohy-ud-Din, H. (2015). Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37900

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mohy-ud-Din, Hassan. “Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography.” 2015. Thesis, Johns Hopkins University. Accessed January 20, 2021. http://jhir.library.jhu.edu/handle/1774.2/37900.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mohy-ud-Din, Hassan. “Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography.” 2015. Web. 20 Jan 2021.

Vancouver:

Mohy-ud-Din H. Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography. [Internet] [Thesis]. Johns Hopkins University; 2015. [cited 2021 Jan 20]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37900.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mohy-ud-Din H. Motion Correction and Pharmacokinetic Analysis in Dynamic Positron Emission Tomography. [Thesis]. Johns Hopkins University; 2015. Available from: http://jhir.library.jhu.edu/handle/1774.2/37900

Not specified: Masters Thesis or Doctoral Dissertation

University of Michigan

13.
Erdogan, Hakan.
*Statistical**image* *reconstruction* algorithms using paraboloidal surrogates for PET transmission scans.

Degree: PhD, Electrical engineering, 1999, University of Michigan

URL: http://hdl.handle.net/2027.42/132124

► Positron Emission Tomography (PET) is a diagnostic imaging tool that provides images of radioactive substances injected into the body to trace biological functions. The radioactive…
(more)

Subjects/Keywords: Algorithms; Image Reconstruction; Paraboloidal Surrogates; Pet; Statistical; Transmission Scans; Using

Record Details Similar Records

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

APA (6^{th} Edition):

Erdogan, H. (1999). Statistical image reconstruction algorithms using paraboloidal surrogates for PET transmission scans. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/132124

Chicago Manual of Style (16^{th} Edition):

Erdogan, Hakan. “Statistical image reconstruction algorithms using paraboloidal surrogates for PET transmission scans.” 1999. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/132124.

MLA Handbook (7^{th} Edition):

Erdogan, Hakan. “Statistical image reconstruction algorithms using paraboloidal surrogates for PET transmission scans.” 1999. Web. 20 Jan 2021.

Vancouver:

Erdogan H. Statistical image reconstruction algorithms using paraboloidal surrogates for PET transmission scans. [Internet] [Doctoral dissertation]. University of Michigan; 1999. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/132124.

Council of Science Editors:

Erdogan H. Statistical image reconstruction algorithms using paraboloidal surrogates for PET transmission scans. [Doctoral Dissertation]. University of Michigan; 1999. Available from: http://hdl.handle.net/2027.42/132124

University of Michigan

14.
Yavuz, Mehmet.
* Statistical* tomographic

Degree: PhD, Electrical engineering, 2000, University of Michigan

URL: http://hdl.handle.net/2027.42/132500

► Medical Imaging systems such as positron emission tomography (PET) and electronically collimated single positron emission tomography (SPECT) record particle emission events based on timing coincidences.…
(more)

Subjects/Keywords: Accidental Coincidence; Image Reconstruction; Measurements; Methods; Pet; Randoms-precorrected; Statistical; Tomographic

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APA (6^{th} Edition):

Yavuz, M. (2000). Statistical tomographic image reconstruction methods for randoms -precorrected PET measurements. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/132500

Chicago Manual of Style (16^{th} Edition):

Yavuz, Mehmet. “Statistical tomographic image reconstruction methods for randoms -precorrected PET measurements.” 2000. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/132500.

MLA Handbook (7^{th} Edition):

Yavuz, Mehmet. “Statistical tomographic image reconstruction methods for randoms -precorrected PET measurements.” 2000. Web. 20 Jan 2021.

Vancouver:

Yavuz M. Statistical tomographic image reconstruction methods for randoms -precorrected PET measurements. [Internet] [Doctoral dissertation]. University of Michigan; 2000. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/132500.

Council of Science Editors:

Yavuz M. Statistical tomographic image reconstruction methods for randoms -precorrected PET measurements. [Doctoral Dissertation]. University of Michigan; 2000. Available from: http://hdl.handle.net/2027.42/132500

University of Michigan

15. Yendiki, Anastasia. Analysis of signal detectability in statistically reconstructed tomographic images.

Degree: PhD, Electrical engineering, 2005, University of Michigan

URL: http://hdl.handle.net/2027.42/125552

► Imaging in general, and emission tomography in particular, has become an important tool in many areas of medical diagnosis. Several common applications of emission tomography,…
(more)

Subjects/Keywords: Analysis; Detectability; Emission Tomography; Reconstructed; Signal Detection; Statistical Image Reconstruction; Statistically; Tomographic Images

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APA (6^{th} Edition):

Yendiki, A. (2005). Analysis of signal detectability in statistically reconstructed tomographic images. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/125552

Chicago Manual of Style (16^{th} Edition):

Yendiki, Anastasia. “Analysis of signal detectability in statistically reconstructed tomographic images.” 2005. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/125552.

MLA Handbook (7^{th} Edition):

Yendiki, Anastasia. “Analysis of signal detectability in statistically reconstructed tomographic images.” 2005. Web. 20 Jan 2021.

Vancouver:

Yendiki A. Analysis of signal detectability in statistically reconstructed tomographic images. [Internet] [Doctoral dissertation]. University of Michigan; 2005. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/125552.

Council of Science Editors:

Yendiki A. Analysis of signal detectability in statistically reconstructed tomographic images. [Doctoral Dissertation]. University of Michigan; 2005. Available from: http://hdl.handle.net/2027.42/125552

University of Michigan

16. Yoon, Seongjin. Electron Beam X-Ray Computed Tomography for Multiphase Flows and An Experimental Study of Inter-channel Mixing.

Degree: PhD, Naval Architecture & Marine Engineering, 2017, University of Michigan

URL: http://hdl.handle.net/2027.42/138666

► This thesis consists of two parts. In the first, a high speed X-ray Computed Tomography (CT) system for multiphase flows is developed. X-ray Computed Tomography…
(more)

Subjects/Keywords: electron beam X-ray CT; statistical CT reconstruction; gap mixing; particle image velocimetry; singular value decomposition; Naval Architecture and Marine Engineering; Engineering

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APA (6^{th} Edition):

Yoon, S. (2017). Electron Beam X-Ray Computed Tomography for Multiphase Flows and An Experimental Study of Inter-channel Mixing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138666

Chicago Manual of Style (16^{th} Edition):

Yoon, Seongjin. “Electron Beam X-Ray Computed Tomography for Multiphase Flows and An Experimental Study of Inter-channel Mixing.” 2017. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/138666.

MLA Handbook (7^{th} Edition):

Yoon, Seongjin. “Electron Beam X-Ray Computed Tomography for Multiphase Flows and An Experimental Study of Inter-channel Mixing.” 2017. Web. 20 Jan 2021.

Vancouver:

Yoon S. Electron Beam X-Ray Computed Tomography for Multiphase Flows and An Experimental Study of Inter-channel Mixing. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/138666.

Council of Science Editors:

Yoon S. Electron Beam X-Ray Computed Tomography for Multiphase Flows and An Experimental Study of Inter-channel Mixing. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138666

17.
Panić Marko.
*Image**Reconstruction* from Undersampled Data with Application to Accelerated Magnetic Resonance Imaging.

Degree: 2020, University of Novi Sad

URL: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija157235029179789.pdf?controlNumber=(BISIS)112152&fileName=157235029179789.pdf&id=14051&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=112152&source=OATD&language=en

►

In dissertation a problem of *reconstruction* of images from undersampled measurements is considered which has direct application in creation of magnetic resonance images. The…
(more)

Subjects/Keywords: Image reconstruction, sparse representation, statistical modelling, optimization, magnetic resonance; Реконструкција слике, ретка репрезентација, статистичко моделовање, оптимизација, магнетна резонанца; Rekonstrukcija slike, retka reprezentacija, statističko modelovanje, optimizacija, magnetna rezonanca

Record Details Similar Records

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APA (6^{th} Edition):

Marko, P. (2020). Image Reconstruction from Undersampled Data with Application to Accelerated Magnetic Resonance Imaging. (Thesis). University of Novi Sad. Retrieved from https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija157235029179789.pdf?controlNumber=(BISIS)112152&fileName=157235029179789.pdf&id=14051&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=112152&source=OATD&language=en

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Marko, Panić. “Image Reconstruction from Undersampled Data with Application to Accelerated Magnetic Resonance Imaging.” 2020. Thesis, University of Novi Sad. Accessed January 20, 2021. https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija157235029179789.pdf?controlNumber=(BISIS)112152&fileName=157235029179789.pdf&id=14051&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=112152&source=OATD&language=en.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Marko, Panić. “Image Reconstruction from Undersampled Data with Application to Accelerated Magnetic Resonance Imaging.” 2020. Web. 20 Jan 2021.

Vancouver:

Marko P. Image Reconstruction from Undersampled Data with Application to Accelerated Magnetic Resonance Imaging. [Internet] [Thesis]. University of Novi Sad; 2020. [cited 2021 Jan 20]. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija157235029179789.pdf?controlNumber=(BISIS)112152&fileName=157235029179789.pdf&id=14051&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=112152&source=OATD&language=en.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marko P. Image Reconstruction from Undersampled Data with Application to Accelerated Magnetic Resonance Imaging. [Thesis]. University of Novi Sad; 2020. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija157235029179789.pdf?controlNumber=(BISIS)112152&fileName=157235029179789.pdf&id=14051&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=112152&source=OATD&language=en

Not specified: Masters Thesis or Doctoral Dissertation

18. Barquero, Harold. Limited angular range X-ray micro-computerized tomography : derivation of anatomical information as a prior for optical luminescence tomography : Micro-tomographie par rayons X à angle limité : dérivation d’une information anatomique a priori pour la tomographie optique par luminescence.

Degree: Docteur es, Physique, 2015, Université de Strasbourg

URL: http://www.theses.fr/2015STRAE033

►

Cette thèse traite du couplage d'un tomographe optique par luminescence (LCT) et d'un tomographe par rayons X (XCT), en présence d'une contrainte sur la géométrie… (more)

Subjects/Keywords: Imagerie biomédicale multimodale; Reconstruction tomographique à angle limité; Segmentation; Recalage; Variation totale; Atlas anatomique statistique; Multimodal biomedical imaging; Limited angle tomography; Image segmentation; Image registration; Total variation; Statistical anatomical atlas; 539.7; 535.2

Record Details Similar Records

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

APA (6^{th} Edition):

Barquero, H. (2015). Limited angular range X-ray micro-computerized tomography : derivation of anatomical information as a prior for optical luminescence tomography : Micro-tomographie par rayons X à angle limité : dérivation d’une information anatomique a priori pour la tomographie optique par luminescence. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2015STRAE033

Chicago Manual of Style (16^{th} Edition):

Barquero, Harold. “Limited angular range X-ray micro-computerized tomography : derivation of anatomical information as a prior for optical luminescence tomography : Micro-tomographie par rayons X à angle limité : dérivation d’une information anatomique a priori pour la tomographie optique par luminescence.” 2015. Doctoral Dissertation, Université de Strasbourg. Accessed January 20, 2021. http://www.theses.fr/2015STRAE033.

MLA Handbook (7^{th} Edition):

Barquero, Harold. “Limited angular range X-ray micro-computerized tomography : derivation of anatomical information as a prior for optical luminescence tomography : Micro-tomographie par rayons X à angle limité : dérivation d’une information anatomique a priori pour la tomographie optique par luminescence.” 2015. Web. 20 Jan 2021.

Vancouver:

Barquero H. Limited angular range X-ray micro-computerized tomography : derivation of anatomical information as a prior for optical luminescence tomography : Micro-tomographie par rayons X à angle limité : dérivation d’une information anatomique a priori pour la tomographie optique par luminescence. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2015. [cited 2021 Jan 20]. Available from: http://www.theses.fr/2015STRAE033.

Council of Science Editors:

Barquero H. Limited angular range X-ray micro-computerized tomography : derivation of anatomical information as a prior for optical luminescence tomography : Micro-tomographie par rayons X à angle limité : dérivation d’une information anatomique a priori pour la tomographie optique par luminescence. [Doctoral Dissertation]. Université de Strasbourg; 2015. Available from: http://www.theses.fr/2015STRAE033

19.
Kim, Donghwan.
Accelerated Optimization Algorithms for *Statistical* 3D X-ray Computed Tomography *Image* *Reconstruction*.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

URL: http://hdl.handle.net/2027.42/109007

► X-ray computed tomography (CT) has been widely celebrated for its ability to visualize patient anatomy, but increasing radiation exposure to patients is a concern. *Statistical*…
(more)

Subjects/Keywords: Computed Tomography, Statistical Image Reconstruction, Optimization Algorithms, Iterative Algorithms, Ordered Subsets, Gradient Methods; Electrical Engineering; Engineering

…but has been criticized for high radiation exposure.
*Statistical* *image* *reconstruction*… …*Statistical* *image* *reconstruction* methods can improve resolution and reduce noise and
artifacts even… …accelerated optimization algorithms for 3D X-ray CT
*statistical* *image* *reconstruction*.
Over the last… …*statistical* *image* *reconstruction*. Coordinate descent (CD) [14, 109]… …Background
This chapter provides a background of X-ray CT *image* *reconstruction* and its *statistical*…

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

APA (6^{th} Edition):

Kim, D. (2014). Accelerated Optimization Algorithms for Statistical 3D X-ray Computed Tomography Image Reconstruction. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/109007

Chicago Manual of Style (16^{th} Edition):

Kim, Donghwan. “Accelerated Optimization Algorithms for Statistical 3D X-ray Computed Tomography Image Reconstruction.” 2014. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/109007.

MLA Handbook (7^{th} Edition):

Kim, Donghwan. “Accelerated Optimization Algorithms for Statistical 3D X-ray Computed Tomography Image Reconstruction.” 2014. Web. 20 Jan 2021.

Vancouver:

Kim D. Accelerated Optimization Algorithms for Statistical 3D X-ray Computed Tomography Image Reconstruction. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/109007.

Council of Science Editors:

Kim D. Accelerated Optimization Algorithms for Statistical 3D X-ray Computed Tomography Image Reconstruction. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/109007

University of Michigan

20.
Yu, Feng.
* Statistical* methods for transmission

Degree: PhD, Electrical engineering, 2000, University of Michigan

URL: http://hdl.handle.net/2027.42/132717

► Tomographic *image* *reconstruction* using *statistical* methods can improve *image* quality over the conventional filtered backprojection (FBP) method. The effectiveness of a *statistical* *image* *reconstruction* method…
(more)

Subjects/Keywords: Edge-preserving Regularization; Filtered Backprojection; Medical Imaging; Methods; Nonlocal; Pet/spect; Statistical; Tomographic Image Reconstruction; Transmission

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

APA (6^{th} Edition):

Yu, F. (2000). Statistical methods for transmission image reconstruction with nonlocal edge -preserving regularization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/132717

Chicago Manual of Style (16^{th} Edition):

Yu, Feng. “Statistical methods for transmission image reconstruction with nonlocal edge -preserving regularization.” 2000. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/132717.

MLA Handbook (7^{th} Edition):

Yu, Feng. “Statistical methods for transmission image reconstruction with nonlocal edge -preserving regularization.” 2000. Web. 20 Jan 2021.

Vancouver:

Yu F. Statistical methods for transmission image reconstruction with nonlocal edge -preserving regularization. [Internet] [Doctoral dissertation]. University of Michigan; 2000. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/132717.

Council of Science Editors:

Yu F. Statistical methods for transmission image reconstruction with nonlocal edge -preserving regularization. [Doctoral Dissertation]. University of Michigan; 2000. Available from: http://hdl.handle.net/2027.42/132717

21.
Eichel, Justin.
* Statistical* Model-Based Corneal

Degree: 2013, University of Waterloo

URL: http://hdl.handle.net/10012/8069

► Precise measurements of corneal layer thickness are required to treat, evaluate risk of, and determine the progression of pathologies within the eye. The thickness measurements…
(more)

Subjects/Keywords: reconstruction; statistical modelling; cornea; optical coherence tomography; segmentation; localization; image processing; pattern recognition

…*Statistical* *reconstruction*
Measurements
m
i
mi
k
mi,k
R
vector containing measurements… …transforming it to make the world
a better place. *Statistical* model-based *reconstruction* encompasses… …based *reconstruction*
When *statistical* model-based *reconstruction* is applied to a discipline… …measurements. During *reconstruction*, these raw measurements are
fitted to a *statistical* model. If the… …measurement uncertainty.
*Statistical* model-based *reconstruction* can generate estimates of regions…

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

APA (6^{th} Edition):

Eichel, J. (2013). Statistical Model-Based Corneal Reconstruction. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8069

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Eichel, Justin. “Statistical Model-Based Corneal Reconstruction.” 2013. Thesis, University of Waterloo. Accessed January 20, 2021. http://hdl.handle.net/10012/8069.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Eichel, Justin. “Statistical Model-Based Corneal Reconstruction.” 2013. Web. 20 Jan 2021.

Vancouver:

Eichel J. Statistical Model-Based Corneal Reconstruction. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10012/8069.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eichel J. Statistical Model-Based Corneal Reconstruction. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/8069

Not specified: Masters Thesis or Doctoral Dissertation

22. Patel, Rakeshkumar Chandulal. New techniques for spatial resolution enhancement of hyperspectral images;.

Degree: Image processing, 2009, INFLIBNET

URL: http://shodhganga.inflibnet.ac.in/handle/10603/54604

Abstract Available

Subjects/Keywords: Image processing – Digital techniques; Image reconstruction – Mathematical models; Resolution (Optics) – Mathematical models; Image processing – Digital techniques – Mathematical models; Resolution enhancement; Image processing – Statistical methods; Multivariate analysis; Multispectral photography

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

APA (6^{th} Edition):

Patel, R. C. (2009). New techniques for spatial resolution enhancement of hyperspectral images;. (Thesis). INFLIBNET. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/54604

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Patel, Rakeshkumar Chandulal. “New techniques for spatial resolution enhancement of hyperspectral images;.” 2009. Thesis, INFLIBNET. Accessed January 20, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/54604.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Patel, Rakeshkumar Chandulal. “New techniques for spatial resolution enhancement of hyperspectral images;.” 2009. Web. 20 Jan 2021.

Vancouver:

Patel RC. New techniques for spatial resolution enhancement of hyperspectral images;. [Internet] [Thesis]. INFLIBNET; 2009. [cited 2021 Jan 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/54604.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patel RC. New techniques for spatial resolution enhancement of hyperspectral images;. [Thesis]. INFLIBNET; 2009. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/54604

Not specified: Masters Thesis or Doctoral Dissertation

23. Brandt, Sami. Theorems and Algorithms for Multiple View Geometry with Applications to Electron Tomography.

Degree: 2002, Helsinki University of Technology

URL: http://lib.tkk.fi/Diss/2002/isbn9512261375/

►

The thesis considers both theory and algorithms for geometric computer vision. The framework of the work is built around the application of autonomous transmission electron… (more)

Subjects/Keywords: robust regression; robust estimation; statistical modeling; epipolar geometry; fundamental matrix; uncertainty; image matching; affine reconstruction; affine triangulation; degeneracy; bundle adjustment; image registration; image alignment; computer vision; electron tomography

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

APA (6^{th} Edition):

Brandt, S. (2002). Theorems and Algorithms for Multiple View Geometry with Applications to Electron Tomography. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2002/isbn9512261375/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Brandt, Sami. “Theorems and Algorithms for Multiple View Geometry with Applications to Electron Tomography.” 2002. Thesis, Helsinki University of Technology. Accessed January 20, 2021. http://lib.tkk.fi/Diss/2002/isbn9512261375/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Brandt, Sami. “Theorems and Algorithms for Multiple View Geometry with Applications to Electron Tomography.” 2002. Web. 20 Jan 2021.

Vancouver:

Brandt S. Theorems and Algorithms for Multiple View Geometry with Applications to Electron Tomography. [Internet] [Thesis]. Helsinki University of Technology; 2002. [cited 2021 Jan 20]. Available from: http://lib.tkk.fi/Diss/2002/isbn9512261375/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brandt S. Theorems and Algorithms for Multiple View Geometry with Applications to Electron Tomography. [Thesis]. Helsinki University of Technology; 2002. Available from: http://lib.tkk.fi/Diss/2002/isbn9512261375/

Not specified: Masters Thesis or Doctoral Dissertation

24.
Perlmutter, David.
Applications of *Statistical* Modeling in Iterative CT *Image* * Reconstruction*.

Degree: 2015, University of Washington

URL: http://hdl.handle.net/1773/33067

► Traditionally, x-ray CT images are produced by an algorithm called filtered back projection, or FBP. FBP is an analytical solution to the idealized CT *image*…
(more)

Subjects/Keywords: CT; image quality; low dose; reconstruction; signal processing; statistical modeling; Electrical engineering; Biblical studies; Medical imaging and radiology; Electrical engineering

…presentation and quality of the resulting *image*. The classic *reconstruction* algorithm for CT is… …dose, leads to higher the *image* quality. Most *statistical* methods model x-ray data as either… …patient motion also degrade CT data. One challenge of
*statistical* *reconstruction* lies in the… …1.2
*Statistical* *Reconstruction*
*Statistical* *reconstruction* is a subset of (though… …Ideally,
these estimates will converge to a stable final *image*. Analytic *reconstruction* methods…

Record Details Similar Records

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

APA (6^{th} Edition):

Perlmutter, D. (2015). Applications of Statistical Modeling in Iterative CT Image Reconstruction. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/33067

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Perlmutter, David. “Applications of Statistical Modeling in Iterative CT Image Reconstruction.” 2015. Thesis, University of Washington. Accessed January 20, 2021. http://hdl.handle.net/1773/33067.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Perlmutter, David. “Applications of Statistical Modeling in Iterative CT Image Reconstruction.” 2015. Web. 20 Jan 2021.

Vancouver:

Perlmutter D. Applications of Statistical Modeling in Iterative CT Image Reconstruction. [Internet] [Thesis]. University of Washington; 2015. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/1773/33067.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Perlmutter D. Applications of Statistical Modeling in Iterative CT Image Reconstruction. [Thesis]. University of Washington; 2015. Available from: http://hdl.handle.net/1773/33067

Not specified: Masters Thesis or Doctoral Dissertation

25.
Cho, Jang Hwan.
Improving *Statistical* *Image* *Reconstruction* for Cardiac X-ray Computed Tomography.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

URL: http://hdl.handle.net/2027.42/110319

► Technological advances in CT imaging pose new challenges such as increased X-ray radiation dose and complexity of *image* *reconstruction*. *Statistical* *image* *reconstruction* methods use realistic…
(more)

Subjects/Keywords: Statistical image reconstruction for cardiac CT imaging; Regularization designs for isotropic and uniform spatial resolution or noise properties; Short-scan artifact removal using statistical weighting modification or additional prior regularization; Accelerating ordered-subsets (OS) method with double surrogate; Accelerating motion-compensated image reconstruction (MCIR) with variable splitting approach; Regularization designs using the hypothetical geometry; Biomedical Engineering; Electrical Engineering; Engineering (General); Engineering

…76
77
83
83
VI. Accelerated *statistical* *image* *reconstruction* methods… …145
xix
ABSTRACT
Improving *Statistical* *Image* *Reconstruction* for Cardiac X-ray Computed… …radiation dose and complexity of *image* *reconstruction*. *Statistical*
*image* *reconstruction* methods… …x5B;131, 134, 136, 144]. *Statistical* *image* *reconstruction* (SIR), also known… …*statistical* *image* *reconstruction* methods and
explores ways to overcome the challenges that it is…

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

APA (6^{th} Edition):

Cho, J. H. (2014). Improving Statistical Image Reconstruction for Cardiac X-ray Computed Tomography. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110319

Chicago Manual of Style (16^{th} Edition):

Cho, Jang Hwan. “Improving Statistical Image Reconstruction for Cardiac X-ray Computed Tomography.” 2014. Doctoral Dissertation, University of Michigan. Accessed January 20, 2021. http://hdl.handle.net/2027.42/110319.

MLA Handbook (7^{th} Edition):

Cho, Jang Hwan. “Improving Statistical Image Reconstruction for Cardiac X-ray Computed Tomography.” 2014. Web. 20 Jan 2021.

Vancouver:

Cho JH. Improving Statistical Image Reconstruction for Cardiac X-ray Computed Tomography. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/2027.42/110319.

Council of Science Editors:

Cho JH. Improving Statistical Image Reconstruction for Cardiac X-ray Computed Tomography. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110319

ETH Zürich

26.
Mishina, Ekaterina.
Predictive properties of *statistical* shape models.

Degree: 2011, ETH Zürich

URL: http://hdl.handle.net/20.500.11850/152717

Subjects/Keywords: BILDREKONSTRUKTION + GESTALTSREKONSTRUKTION (MATHEMATISCHE BILDVERARBEITUNG); OBJEKTMODELLIERUNG (COMPUTERGRAFIK); ABBILDUNGSVERFAHREN + VISUALISIERUNGSVERFAHREN (MEDIZIN); STATISTISCHE MODELLE (MATHEMATISCHE STATISTIK); PROGNOSEN AUF STATISTISCHER BASIS (MATHEMATISCHE STATISTIK); UNVOLLSTÄNDIGE DATEN UND FEHLENDE DATEN (MATHEMATISCHE STATISTIK); IMAGE RECONSTRUCTION + SHAPE RECONSTRUCTION (MATHEMATICAL IMAGE PROCESSING); OBJECT MODELLING (COMPUTER GRAPHICS); MEDICAL IMAGING + MEDICAL VISUALIZATION TECHNIQUES; STATISTICAL MODELS (MATHEMATICAL STATISTICS); FORECASTING BASED ON STATISTICS (MATHEMATICAL STATISTICS); INCOMPLETE DATA AND MISSING DATA (MATHEMATICAL STATISTICS); info:eu-repo/classification/ddc/510; info:eu-repo/classification/ddc/004; Mathematics; Data processing, computer science

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

APA (6^{th} Edition):

Mishina, E. (2011). Predictive properties of statistical shape models. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/152717

Chicago Manual of Style (16^{th} Edition):

Mishina, Ekaterina. “Predictive properties of statistical shape models.” 2011. Doctoral Dissertation, ETH Zürich. Accessed January 20, 2021. http://hdl.handle.net/20.500.11850/152717.

MLA Handbook (7^{th} Edition):

Mishina, Ekaterina. “Predictive properties of statistical shape models.” 2011. Web. 20 Jan 2021.

Vancouver:

Mishina E. Predictive properties of statistical shape models. [Internet] [Doctoral dissertation]. ETH Zürich; 2011. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/20.500.11850/152717.

Council of Science Editors:

Mishina E. Predictive properties of statistical shape models. [Doctoral Dissertation]. ETH Zürich; 2011. Available from: http://hdl.handle.net/20.500.11850/152717