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You searched for subject:(Statistical Image Reconstruction). Showing records 1 – 26 of 26 total matches.

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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

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

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

APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

  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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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

APA (6th 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 (16th 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 (7th 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

 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

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

APA (6th 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 (16th 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 (7th 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

 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

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

APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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 (16th 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 (7th 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 image reconstruction methods for randoms -precorrected PET measurements.

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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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 image reconstruction with nonlocal edge -preserving regularization.

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

 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 (6th 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 (16th 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 (7th 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 Reconstruction.

Degree: 2013, University of Waterloo

 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 (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

Abstract Available

Advisors/Committee Members: Joshi, Manjunath V..

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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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 (6th 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/

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):

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/.

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

MLA Handbook (7th 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/.

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

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

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

Degree: 2015, University of Washington

 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… 

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

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 (6th 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 (16th 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 (7th 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

.