A new method for processing the forward solver data in fluorescence molecular imaging

Gorpas, D; Politopoulos, K; Yova, D

dc.contributor.author	Gorpas, D	en
dc.contributor.author	Politopoulos, K	en
dc.contributor.author	Yova, D	en
dc.date.accessioned	2014-03-01T02:45:03Z
dc.date.available	2014-03-01T02:45:03Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32113
dc.subject	a priori information	en
dc.subject	Fluorescence Imaging	en
dc.subject	Inverse Problem	en
dc.subject	Medical Image	en
dc.subject	Molecular Imaging	en
dc.subject	Region of Interest	en
dc.subject.other	Fluorescence imaging	en
dc.subject.other	Fluorescence molecular	en
dc.subject.other	Inverse problem solution	en
dc.subject.other	Non-linear	en
dc.subject.other	Novel methods	en
dc.subject.other	Region of interest	en
dc.subject.other	Turbid medium	en
dc.subject.other	Bioinformatics	en
dc.subject.other	Fluorescence	en
dc.subject.other	Image segmentation	en
dc.subject.other	Inverse problems	en
dc.subject.other	Medical problems	en
dc.subject.other	Pixels	en
dc.subject.other	Tumors	en
dc.subject.other	Medical imaging	en
dc.title	A new method for processing the forward solver data in fluorescence molecular imaging	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696666	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696666	en
heal.identifier.secondary	4696666	en
heal.publicationDate	2008	en
heal.abstract	During the last few years a quite large number of fluorescence imaging applications have been reported in the literature, as one of the most challenging problems in medical imaging is to ""see"" a tumour embedded in tissue, which is a turbid medium. This problem has not been fully encountered yet, due to the non-linear nature of the inverse problem. In this paper, a novel method for processing the forward solver outcomes is presented. Through this technique the comparison between the simulated and the acquired data can be performed only at the region of interest, minimizing time-consuming pixel- to-pixel comparison. With this modus operandi a-priory information about the initial fluorophore distribution becomes available, leading to a more feasible inverse problem solution.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696666	en