Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Sleijpen, G.L.G.
dc.contributor.advisor	Seevinck, P.R.
dc.contributor.author	Zwaan, I.N.
dc.date.accessioned	2013-01-28T18:03:56Z
dc.date.available	2013-01-28
dc.date.available	2013-01-28T18:03:56Z
dc.date.issued	2013
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/12498
dc.description.abstract	We present a flexible method dubbed Accelerated Radial Compressed Sensing (ARCS) which uses Compressed Sensing to reconstruct 2D and 3D radial data. Our tests on 2D radial data show that ARCS is competitive in quality with traditional CS reconstruction methods (which reconstruct Cartesian data) and is five to twenty times as fast at the same time. Therefore, we believe that ARCS is a novel approach that warrants additional research.
dc.description.sponsorship	Utrecht University
dc.format.extent	23596433 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	Compressed Sensing
dc.subject.keywords	CS
dc.subject.keywords	Magnetic Resonance Imaging
dc.subject.keywords	MRI
dc.subject.keywords	Accelerated Radial Compressed Sensing
dc.subject.keywords	ARCS
dc.subject.courseuu	Mathematical Sciences