Blind source separation for the computational analysis of dynamic oncological PET studies.

Thireou, T; Pavlopoulos, S; Kontaxakis, G; Santos, A

dc.contributor.author	Thireou, T	en
dc.contributor.author	Pavlopoulos, S	en
dc.contributor.author	Kontaxakis, G	en
dc.contributor.author	Santos, A	en
dc.date.accessioned	2014-03-01T01:23:40Z
dc.date.available	2014-03-01T01:23:40Z
dc.date.issued	2006	en
dc.identifier.issn	1021-335X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17080
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-33645770015&partnerID=40&md5=be12cfc7df0d1c6f322761823423b4e6	en
dc.subject	independent component analysis	en
dc.subject	positron emission tomography	en
dc.subject	standard uptake values	en
dc.subject.classification	Oncology	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	human	en
dc.subject.other	kinetics	en
dc.subject.other	neoplasm	en
dc.subject.other	positron emission tomography	en
dc.subject.other	scintiscanning	en
dc.subject.other	statistical analysis	en
dc.subject.other	statistics	en
dc.subject.other	Algorithms	en
dc.subject.other	Data Interpretation, Statistical	en
dc.subject.other	Humans	en
dc.subject.other	Kinetics	en
dc.subject.other	Neoplasms	en
dc.subject.other	Positron-Emission Tomography	en
dc.title	Blind source separation for the computational analysis of dynamic oncological PET studies.	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	The analysis of dynamic positron emission tomography (PET) studies provides clinically useful parametric information, but often requires complex and time-consuming compartmental or non-compartmental techniques. Independent component analysis (ICA), a statistical method used for feature extraction and signal separation, is applied to dynamic PET studies to facilitate the initial interpretation and visual analysis of these large image sequences. ICA produces parametric images, where structures with different kinetic characteristics are assigned opposite values and readily discriminated, improving the identification of lesions and facilitating the posterior detailed kinetic analysis.	en
heal.publisher	PROFESSOR D A SPANDIDOS	en
heal.journalName	Oncology reports.	en
dc.identifier.isi	ISI:000236066000006	en
dc.identifier.volume	15 Spec no.	en
dc.identifier.spage	1007	en
dc.identifier.epage	1012	en