Sparse Sampling of Velocity MRI

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/10439

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Anand, Christopher	en_US
dc.contributor.author	Chinta, Venkateswarao Yogesh	en_US
dc.date.accessioned	2014-06-18T16:51:24Z	-
dc.date.available	2014-06-18T16:51:24Z	-
dc.date.created	2011-07-20	en_US
dc.date.issued	2011-10	en_US
dc.identifier.other	opendissertations/5487	en_US
dc.identifier.other	6486	en_US
dc.identifier.other	2108602	en_US
dc.identifier.uri	http://hdl.handle.net/11375/10439	-
dc.description.abstract	<p>Standard MRI is used to image objects at rest. In addition to standard MRI images, which measure tissues at rest, Phase Contrast MRI can be used to quantify the motion of blood and tissue in the human body. The current method used in Phase Contrast MRI is time consuming. The development of new trajectories has minimized imaging time, but creates sub-sampling errors. The proposed method uses regularization of velocities and proton densities to eliminate errors arising from k-space under-sampling.</p>	en_US
dc.subject	Optimization	en_US
dc.subject	Velocity MRI	en_US
dc.subject	Sparse sampling	en_US
dc.subject	k-space	en_US
dc.subject	Computational Engineering	en_US
dc.subject	Computational Engineering	en_US
dc.title	Sparse Sampling of Velocity MRI	en_US
dc.type	thesis	en_US
dc.contributor.department	Computational Engineering and Science	en_US
dc.description.degree	Master of Applied Science (MASc)	en_US
Appears in Collections:	Open Access Dissertations and Theses

Files in This Item:

File	Size	Format
fulltext.pdf Open Access	1.77 MB	Adobe PDF	View/Open