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You searched for subject:(Constrained reconstruction). Showing records 1 – 12 of 12 total matches.

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University of Utah

1. Chen, Liyong. Image reconstruction in dynamic contrast enhanced magnetic resonance imaging.

Degree: PhD, Bioengineering, 2012, University of Utah

 Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is a powerful tool to detect cardiac diseases and tumors, and both spatial resolution and temporalresolution are important… (more)

Subjects/Keywords: Cardiac; Compressed sensing; Constrained reconstruction; Image reconstruction; MRI

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

APA (6th Edition):

Chen, L. (2012). Image reconstruction in dynamic contrast enhanced magnetic resonance imaging. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/690/rec/1290

Chicago Manual of Style (16th Edition):

Chen, Liyong. “Image reconstruction in dynamic contrast enhanced magnetic resonance imaging.” 2012. Doctoral Dissertation, University of Utah. Accessed October 24, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/690/rec/1290.

MLA Handbook (7th Edition):

Chen, Liyong. “Image reconstruction in dynamic contrast enhanced magnetic resonance imaging.” 2012. Web. 24 Oct 2019.

Vancouver:

Chen L. Image reconstruction in dynamic contrast enhanced magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Utah; 2012. [cited 2019 Oct 24]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/690/rec/1290.

Council of Science Editors:

Chen L. Image reconstruction in dynamic contrast enhanced magnetic resonance imaging. [Doctoral Dissertation]. University of Utah; 2012. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/690/rec/1290


University of Utah

2. Todd, Nicholas. Improved magnetic resonance temperature imaging through pulse sequence and reconstruction techniques.

Degree: PhD, Physics;, 2010, University of Utah

 This dissertation focuses on improving magnetic resonance (MR) thermometry techniques. The goal is to develop and improve data acquisition and image reconstruction methods such that… (more)

Subjects/Keywords: Constrained reconstruction; Magnetic resonance imaging; Temperature; Thermal modeling

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APA (6th Edition):

Todd, N. (2010). Improved magnetic resonance temperature imaging through pulse sequence and reconstruction techniques. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/798/rec/628

Chicago Manual of Style (16th Edition):

Todd, Nicholas. “Improved magnetic resonance temperature imaging through pulse sequence and reconstruction techniques.” 2010. Doctoral Dissertation, University of Utah. Accessed October 24, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/798/rec/628.

MLA Handbook (7th Edition):

Todd, Nicholas. “Improved magnetic resonance temperature imaging through pulse sequence and reconstruction techniques.” 2010. Web. 24 Oct 2019.

Vancouver:

Todd N. Improved magnetic resonance temperature imaging through pulse sequence and reconstruction techniques. [Internet] [Doctoral dissertation]. University of Utah; 2010. [cited 2019 Oct 24]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/798/rec/628.

Council of Science Editors:

Todd N. Improved magnetic resonance temperature imaging through pulse sequence and reconstruction techniques. [Doctoral Dissertation]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/798/rec/628


University of Utah

3. Welsh, Christopher Lee. Advanced imaging tools for quantifying cardiac microstructure.

Degree: PhD, Bioengineering, 2015, University of Utah

 Diffusion tensor MRI (DT-MRI or DTI) has been proven useful for characterizing biological tissue microstructure, with the majority of DTI studies having been performed previously… (more)

Subjects/Keywords: Compressed Sensing; Constrained Reconstruction; Diffusion Tensor Imaging; Magnetic Resonance Imaging; Motion Compensation; Small Animal Imaging

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APA (6th Edition):

Welsh, C. L. (2015). Advanced imaging tools for quantifying cardiac microstructure. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157

Chicago Manual of Style (16th Edition):

Welsh, Christopher Lee. “Advanced imaging tools for quantifying cardiac microstructure.” 2015. Doctoral Dissertation, University of Utah. Accessed October 24, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157.

MLA Handbook (7th Edition):

Welsh, Christopher Lee. “Advanced imaging tools for quantifying cardiac microstructure.” 2015. Web. 24 Oct 2019.

Vancouver:

Welsh CL. Advanced imaging tools for quantifying cardiac microstructure. [Internet] [Doctoral dissertation]. University of Utah; 2015. [cited 2019 Oct 24]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157.

Council of Science Editors:

Welsh CL. Advanced imaging tools for quantifying cardiac microstructure. [Doctoral Dissertation]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4001/rec/157


Texas Medical Center

4. Ragan, Dustin K. Measurement of the vascular input function in mice for DCE-MRI.

Degree: PhD, 2010, Texas Medical Center

 DCE-MRI is an important technique in the study of small animal cancer models because its sensitivity to vascular changes opens the possibility of quantitative assessment… (more)

Subjects/Keywords: magnetic resonance imaging; DCE-MRI; VIF; AIF; small animal imaging; constrained reconstruction; flow enhancement; reproducibility; Medical Biophysics

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APA (6th Edition):

Ragan, D. K. (2010). Measurement of the vascular input function in mice for DCE-MRI. (Doctoral Dissertation). Texas Medical Center. Retrieved from http://digitalcommons.library.tmc.edu/utgsbs_dissertations/11

Chicago Manual of Style (16th Edition):

Ragan, Dustin K. “Measurement of the vascular input function in mice for DCE-MRI.” 2010. Doctoral Dissertation, Texas Medical Center. Accessed October 24, 2019. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/11.

MLA Handbook (7th Edition):

Ragan, Dustin K. “Measurement of the vascular input function in mice for DCE-MRI.” 2010. Web. 24 Oct 2019.

Vancouver:

Ragan DK. Measurement of the vascular input function in mice for DCE-MRI. [Internet] [Doctoral dissertation]. Texas Medical Center; 2010. [cited 2019 Oct 24]. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/11.

Council of Science Editors:

Ragan DK. Measurement of the vascular input function in mice for DCE-MRI. [Doctoral Dissertation]. Texas Medical Center; 2010. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/11


Brigham Young University

5. Wang, Haonan. Novel Techniques for Rapid Cardiac Perfusion Magnetic Resonance Imaging with Whole Heart Coverage.

Degree: PhD, 2016, Brigham Young University

 Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging method that is used in the diagnosis of many common diseases. Compared to other medical imaging… (more)

Subjects/Keywords: Magnetic Resonance Imaging (MRI); Cardiac Perfusion; Compressed sensing; Multi- band Excitation; Constrained Reconstruction; Electrical and Computer Engineering

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APA (6th Edition):

Wang, H. (2016). Novel Techniques for Rapid Cardiac Perfusion Magnetic Resonance Imaging with Whole Heart Coverage. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7435&context=etd

Chicago Manual of Style (16th Edition):

Wang, Haonan. “Novel Techniques for Rapid Cardiac Perfusion Magnetic Resonance Imaging with Whole Heart Coverage.” 2016. Doctoral Dissertation, Brigham Young University. Accessed October 24, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7435&context=etd.

MLA Handbook (7th Edition):

Wang, Haonan. “Novel Techniques for Rapid Cardiac Perfusion Magnetic Resonance Imaging with Whole Heart Coverage.” 2016. Web. 24 Oct 2019.

Vancouver:

Wang H. Novel Techniques for Rapid Cardiac Perfusion Magnetic Resonance Imaging with Whole Heart Coverage. [Internet] [Doctoral dissertation]. Brigham Young University; 2016. [cited 2019 Oct 24]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7435&context=etd.

Council of Science Editors:

Wang H. Novel Techniques for Rapid Cardiac Perfusion Magnetic Resonance Imaging with Whole Heart Coverage. [Doctoral Dissertation]. Brigham Young University; 2016. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7435&context=etd


EPFL

6. Varol, Aydin. Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces.

Degree: 2012, EPFL

 In this thesis, we focus on the problem of recovering 3D shapes of deformable surfaces from a single camera. This problem is known to be… (more)

Subjects/Keywords: computer vision; deformable surfaces; reconstruction; shading; texture; constrained latent variable model; vision par ordinateur; surfaces déformables; reconstruction; ombrage; texture; modèle contraint avec des variables latentes

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APA (6th Edition):

Varol, A. (2012). Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/180644

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):

Varol, Aydin. “Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces.” 2012. Thesis, EPFL. Accessed October 24, 2019. http://infoscience.epfl.ch/record/180644.

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

MLA Handbook (7th Edition):

Varol, Aydin. “Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces.” 2012. Web. 24 Oct 2019.

Vancouver:

Varol A. Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces. [Internet] [Thesis]. EPFL; 2012. [cited 2019 Oct 24]. Available from: http://infoscience.epfl.ch/record/180644.

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

Council of Science Editors:

Varol A. Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces. [Thesis]. EPFL; 2012. Available from: http://infoscience.epfl.ch/record/180644

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


EPFL

7. Kasten, Jeffrey Adam. Superresolution Reconstruction for Magnetic Resonance Spectroscopic Imaging Exploiting Low-Rank Spatio-Spectral Structure.

Degree: 2015, EPFL

 Magnetic resonance spectroscopic imaging (MRSI) is a rapidly developing medical imaging modality, capable of conferring both spatial and spectral information content, and has become a… (more)

Subjects/Keywords: Magnetic resonance spectroscopic imaging; chemical shift imaging; constrained reconstruction; low-rank approximation; non-convex optimization; total variation; MR phantoms; 3D printing; spatio-spectral modeling

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APA (6th Edition):

Kasten, J. A. (2015). Superresolution Reconstruction for Magnetic Resonance Spectroscopic Imaging Exploiting Low-Rank Spatio-Spectral Structure. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/206244

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):

Kasten, Jeffrey Adam. “Superresolution Reconstruction for Magnetic Resonance Spectroscopic Imaging Exploiting Low-Rank Spatio-Spectral Structure.” 2015. Thesis, EPFL. Accessed October 24, 2019. http://infoscience.epfl.ch/record/206244.

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

MLA Handbook (7th Edition):

Kasten, Jeffrey Adam. “Superresolution Reconstruction for Magnetic Resonance Spectroscopic Imaging Exploiting Low-Rank Spatio-Spectral Structure.” 2015. Web. 24 Oct 2019.

Vancouver:

Kasten JA. Superresolution Reconstruction for Magnetic Resonance Spectroscopic Imaging Exploiting Low-Rank Spatio-Spectral Structure. [Internet] [Thesis]. EPFL; 2015. [cited 2019 Oct 24]. Available from: http://infoscience.epfl.ch/record/206244.

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

Council of Science Editors:

Kasten JA. Superresolution Reconstruction for Magnetic Resonance Spectroscopic Imaging Exploiting Low-Rank Spatio-Spectral Structure. [Thesis]. EPFL; 2015. Available from: http://infoscience.epfl.ch/record/206244

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


Ohio University

8. Masuda, Ryuichi. A comparative study of the algebraic reconstruction technique and the constrained conjugate gradient method as applied to cross borehole geophysical tomography.

Degree: MS, Electrical Engineering & Computer Science (Engineering and Technology), 1989, Ohio University

A comparative study of the algebraic reconstruction technique and the constrained conjugate gradient method as applied to cross borehole geophysical tomography Advisors/Committee Members: Radcliff, Roger (Advisor).

Subjects/Keywords: Algebraic Reconstruction Technique; Constrained Conjugate Gradient Method Cross Borehole Geophysical Tomography

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APA (6th Edition):

Masuda, R. (1989). A comparative study of the algebraic reconstruction technique and the constrained conjugate gradient method as applied to cross borehole geophysical tomography. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1182444036

Chicago Manual of Style (16th Edition):

Masuda, Ryuichi. “A comparative study of the algebraic reconstruction technique and the constrained conjugate gradient method as applied to cross borehole geophysical tomography.” 1989. Masters Thesis, Ohio University. Accessed October 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1182444036.

MLA Handbook (7th Edition):

Masuda, Ryuichi. “A comparative study of the algebraic reconstruction technique and the constrained conjugate gradient method as applied to cross borehole geophysical tomography.” 1989. Web. 24 Oct 2019.

Vancouver:

Masuda R. A comparative study of the algebraic reconstruction technique and the constrained conjugate gradient method as applied to cross borehole geophysical tomography. [Internet] [Masters thesis]. Ohio University; 1989. [cited 2019 Oct 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1182444036.

Council of Science Editors:

Masuda R. A comparative study of the algebraic reconstruction technique and the constrained conjugate gradient method as applied to cross borehole geophysical tomography. [Masters Thesis]. Ohio University; 1989. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1182444036


Université Paris-Sud – Paris XI

9. Kyrgyzova, Khrystyna. Stéréophotométrie non-calibrée de surfaces non-Lambertiennes. Application à la reconstruction de surface de colonies microbiennes : Uncalibrated non-Lambertian photometric stereo. Application to microbial colonies surface reconstruction.

Degree: Docteur es, Informatique, 2014, Université Paris-Sud – Paris XI

 La thèse est dédiée au problème de la stéréophotométrie non-Lambertienne sans connaissance a priori sur les conditions d’illumination et son application aux images de boîte… (more)

Subjects/Keywords: Stéréophotométrie; Modèles de réflexion non-Lambertiens; Suppression de spécularités; Optimisation alternée sous contraintes; Photometric stereo surface reconstruction; Non-Lambertian reflectance models; Specularity removal; Alternating constrained optimization

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APA (6th Edition):

Kyrgyzova, K. (2014). Stéréophotométrie non-calibrée de surfaces non-Lambertiennes. Application à la reconstruction de surface de colonies microbiennes : Uncalibrated non-Lambertian photometric stereo. Application to microbial colonies surface reconstruction. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2014PA112155

Chicago Manual of Style (16th Edition):

Kyrgyzova, Khrystyna. “Stéréophotométrie non-calibrée de surfaces non-Lambertiennes. Application à la reconstruction de surface de colonies microbiennes : Uncalibrated non-Lambertian photometric stereo. Application to microbial colonies surface reconstruction.” 2014. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed October 24, 2019. http://www.theses.fr/2014PA112155.

MLA Handbook (7th Edition):

Kyrgyzova, Khrystyna. “Stéréophotométrie non-calibrée de surfaces non-Lambertiennes. Application à la reconstruction de surface de colonies microbiennes : Uncalibrated non-Lambertian photometric stereo. Application to microbial colonies surface reconstruction.” 2014. Web. 24 Oct 2019.

Vancouver:

Kyrgyzova K. Stéréophotométrie non-calibrée de surfaces non-Lambertiennes. Application à la reconstruction de surface de colonies microbiennes : Uncalibrated non-Lambertian photometric stereo. Application to microbial colonies surface reconstruction. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2014. [cited 2019 Oct 24]. Available from: http://www.theses.fr/2014PA112155.

Council of Science Editors:

Kyrgyzova K. Stéréophotométrie non-calibrée de surfaces non-Lambertiennes. Application à la reconstruction de surface de colonies microbiennes : Uncalibrated non-Lambertian photometric stereo. Application to microbial colonies surface reconstruction. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2014. Available from: http://www.theses.fr/2014PA112155


University of Illinois – Urbana-Champaign

10. Lam, Fan. Motion compensation from limited data for reference-constrained image reconstruction.

Degree: MS, 1200, 2011, University of Illinois – Urbana-Champaign

 When reconstructing images from limited (or sparsely sampled) data, reference (or template) images are useful for constraining image reconstruction for various applications. However, in order… (more)

Subjects/Keywords: Reference-constrained image reconstruction; Motion compensation; Generalized series model; Sparse image; Compressed Sensing; Variable projection; Affine transformation; Free-form deformation; Cramer-Rao bound

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APA (6th Edition):

Lam, F. (2011). Motion compensation from limited data for reference-constrained image reconstruction. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24111

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):

Lam, Fan. “Motion compensation from limited data for reference-constrained image reconstruction.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed October 24, 2019. http://hdl.handle.net/2142/24111.

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

MLA Handbook (7th Edition):

Lam, Fan. “Motion compensation from limited data for reference-constrained image reconstruction.” 2011. Web. 24 Oct 2019.

Vancouver:

Lam F. Motion compensation from limited data for reference-constrained image reconstruction. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/2142/24111.

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

Council of Science Editors:

Lam F. Motion compensation from limited data for reference-constrained image reconstruction. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24111

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

11. Arzouni, Nibal. Performance Analysis between Two Sparsity Constrained MRI Methods: Highly Constrained Backprojection(HYPR) and Compressed Sensing(CS) for Dynamic Imaging.

Degree: 2012, Texas A&M University

 One of the most important challenges in dynamic magnetic resonance imaging (MRI) is to achieve high spatial and temporal resolution when it is limited by… (more)

Subjects/Keywords: Highly constrained backprojection; compressed sensing; Dynamic MRI; undersampled data; image reconstruction; projection imaging; sparsity

…speed is constrained by the quality of the reconstructed images. We need to increase the… …take time in image reconstruction since the reconstruction is an iterative nonlinear process… …solutions. 5 B. Highly Constrained Backprojection (HYPR) Highly Constrained… …In the reconstruction process, some or all of the sinograms are combined to form a… …spatial resolution. A PSF of an impulse in all directions will produce perfect reconstruction… 

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APA (6th Edition):

Arzouni, N. (2012). Performance Analysis between Two Sparsity Constrained MRI Methods: Highly Constrained Backprojection(HYPR) and Compressed Sensing(CS) for Dynamic Imaging. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8449

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):

Arzouni, Nibal. “Performance Analysis between Two Sparsity Constrained MRI Methods: Highly Constrained Backprojection(HYPR) and Compressed Sensing(CS) for Dynamic Imaging.” 2012. Thesis, Texas A&M University. Accessed October 24, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8449.

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

MLA Handbook (7th Edition):

Arzouni, Nibal. “Performance Analysis between Two Sparsity Constrained MRI Methods: Highly Constrained Backprojection(HYPR) and Compressed Sensing(CS) for Dynamic Imaging.” 2012. Web. 24 Oct 2019.

Vancouver:

Arzouni N. Performance Analysis between Two Sparsity Constrained MRI Methods: Highly Constrained Backprojection(HYPR) and Compressed Sensing(CS) for Dynamic Imaging. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8449.

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

Council of Science Editors:

Arzouni N. Performance Analysis between Two Sparsity Constrained MRI Methods: Highly Constrained Backprojection(HYPR) and Compressed Sensing(CS) for Dynamic Imaging. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8449

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

12. Haldar, Justin P. Constrained imaging: denoising and sparse sampling.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 Magnetic resonance imaging (MRI) is a powerful tool for studying the anatomy, physiology, and metabolism of biological systems. Despite the fact that MRI was introduced… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Constrained Reconstruction; Denoising; Sparse Sampling; Regularization; Compressed Sensing; Sparsity; Low Rank

…Image Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . 2.2.1 Conjugate Phase… …Reconstruction . . . . . . . . . . . . . . . . . . . . 2.2.2 Hilbert Space Reconstruction for Square… …3.2 Joint Reconstruction of Images with a Shared Line Process Prior . . . . . . . 3.2.1… …Unconstrained Matrix-Based Reconstruction . . . . . . 5.2 Low-Rank Matrix Recovery… …5.2.1 Rank-Constrained Matrix Recovery with the PS Model . 5.2.2 Sampling Considerations and… 

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APA (6th Edition):

Haldar, J. P. (2011). Constrained imaging: denoising and sparse sampling. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24286

Chicago Manual of Style (16th Edition):

Haldar, Justin P. “Constrained imaging: denoising and sparse sampling.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 24, 2019. http://hdl.handle.net/2142/24286.

MLA Handbook (7th Edition):

Haldar, Justin P. “Constrained imaging: denoising and sparse sampling.” 2011. Web. 24 Oct 2019.

Vancouver:

Haldar JP. Constrained imaging: denoising and sparse sampling. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/2142/24286.

Council of Science Editors:

Haldar JP. Constrained imaging: denoising and sparse sampling. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24286

.