The Use of Continuous Regularization in the Automated Analysis of MRS Time-Domain Data

Totz, J; Van Den Boogaart, A; Van Huffel, S; Graveron-Uemilly, D; Dologlou, I; Heidler, R; Michel, D

dc.contributor.author	Totz, J	en
dc.contributor.author	Van Den Boogaart, A	en
dc.contributor.author	Van Huffel, S	en
dc.contributor.author	Graveron-Uemilly, D	en
dc.contributor.author	Dologlou, I	en
dc.contributor.author	Heidler, R	en
dc.contributor.author	Michel, D	en
dc.date.accessioned	2014-03-01T01:13:28Z
dc.date.available	2014-03-01T01:13:28Z
dc.date.issued	1997	en
dc.identifier.issn	1090-7807	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12491
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0000077320&partnerID=40&md5=af4b5620a5718a5ce28e81624e834635	en
dc.subject.classification	Biochemical Research Methods	en
dc.subject.classification	Physics, Atomic, Molecular & Chemical	en
dc.subject.classification	Spectroscopy	en
dc.subject.other	TOTAL LEAST-SQUARES	en
dc.subject.other	IN-VIVO NMR	en
dc.subject.other	LINEAR PREDICTION	en
dc.subject.other	ALGORITHM	en
dc.subject.other	SIGNALS	en
dc.subject.other	QUANTIFICATION	en
dc.subject.other	ENHANCEMENT	en
dc.title	The Use of Continuous Regularization in the Automated Analysis of MRS Time-Domain Data	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1997	en
heal.abstract	In this paper, it is shown how the advantages of continuous regularization (CR) can be exploited to achieve an improved, fully automated LPSVD analysis of MRS time-domain data. The main advantage of CR is its ability to determine the number of spectral components even at low signal-to-noise ratios, which suggested its use for in vivo spectroscopy, Estimation of the spectral parameters is possible. Two alternatives of automated data-analysis schemes are thoroughly investigated by means of Monte Carlo studies. The results suggest the combination of CR for model-order estimation with other methods for more-accurate parameter estimation, Several possible combinations, including those with an improved enhancement procedure and a total-least-squares method for quantitation, are discussed, Recommendations are given for spectral analysis, and a new data-analysis protocol which performs significantly better than previously used protocols of the same type is proposed, (C) 1997 Academic Press.	en
heal.publisher	ACADEMIC PRESS INC JNL-COMP SUBSCRIPTIONS	en
heal.journalName	Journal of Magnetic Resonance	en
dc.identifier.isi	ISI:A1997WP82100012	en
dc.identifier.volume	124	en
dc.identifier.issue	2	en
dc.identifier.spage	400	en
dc.identifier.epage	409	en