MRI scan time reduction through non-uniform sampling and SVD-based estimation

Dologlou, I; vanOrmondt, D; Carayannis, G

dc.contributor.author	Dologlou, I	en
dc.contributor.author	vanOrmondt, D	en
dc.contributor.author	Carayannis, G	en
dc.date.accessioned	2014-03-01T01:12:05Z
dc.date.available	2014-03-01T01:12:05Z
dc.date.issued	1996	en
dc.identifier.issn	0165-1684	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11950
dc.subject	scan time reduction	en
dc.subject	incomplete sampling	en
dc.subject	SVD-based signal estimation	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	RESONANCE IMAGE-RECONSTRUCTION	en
dc.subject.other	MAGNETIC-RESONANCE	en
dc.title	MRI scan time reduction through non-uniform sampling and SVD-based estimation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0165-1684(96)00131-4	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0165-1684(96)00131-4	en
heal.language	English	en
heal.publicationDate	1996	en
heal.abstract	This work concerns estimation of optimal MRI images from incomplete raw data. 'Raw' implies that the data have not yet been Fourier transformed to the spatial (image) domain, whereas 'incomplete' pertains to the fact that a number of points on the Cartesian sampling grid were omitted in order to reduce the scan time. We introduce a novel SVD-based method for estimating the omitted samples, with the specificity of more accurate model design. This is achieved iteratively using a new multichannel configuration which enables the exploitation of existing correlation in the different channels. At the same time, care is taken to select grid points that carry maximum information. The positions of these points are such that estimation of omitted samples amounts to interpolation rather than extrapolation.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	SIGNAL PROCESSING	en
dc.identifier.doi	10.1016/S0165-1684(96)00131-4	en
dc.identifier.isi	ISI:A1996WD21800006	en
dc.identifier.volume	55	en
dc.identifier.issue	2	en
dc.identifier.spage	207	en
dc.identifier.epage	219	en