Myocardial perfusion SPECT imaging de-noising: A phantom study

Korfiatis, P; Karatrantou, A; Skiadopoulos, S; Arikidis, N; Costaridou, L; Panayiotakis, G; Apostolopoulos, D; Vasilakos, P

dc.contributor.author	Korfiatis, P	en
dc.contributor.author	Karatrantou, A	en
dc.contributor.author	Skiadopoulos, S	en
dc.contributor.author	Arikidis, N	en
dc.contributor.author	Costaridou, L	en
dc.contributor.author	Panayiotakis, G	en
dc.contributor.author	Apostolopoulos, D	en
dc.contributor.author	Vasilakos, P	en
dc.date.accessioned	2014-03-01T02:51:23Z
dc.date.available	2014-03-01T02:51:23Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35500
dc.subject	Image Quality	en
dc.subject	Myocardial Perfusion Spect	en
dc.subject	poisson noise	en
dc.subject	Statistical Significance	en
dc.subject	Contrast To Noise Ratio	en
dc.title	Myocardial perfusion SPECT imaging de-noising: A phantom study	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IST.2008.4659950	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IST.2008.4659950	en
heal.publicationDate	2008	en
heal.abstract	The statistical nature of SPECT imaging, due to Poisson noise effect, results in degradation of image quality, especially in case of lesions of small signal-to-noise (SNR) ratio (small size, reduced activity). In this paper, the performance of a platelet de-noising method applied, by means of a pre- processing step, on myocardial perfusion SPECT imaging is evaluated. A cardiac phantom, containing	en
heal.journalName	IEEE International Workshop on Imaging Systems and Techniques	en
dc.identifier.doi	10.1109/IST.2008.4659950	en