A fractal analysis of CT liver images for the discrimination of hepatic lesions: A comparative study

Sariyanni, C-PA; Asvestas, P; Matsopoulos, GK; Nikita, KS; Nikita, AS; Kelekis, D

dc.contributor.author	Sariyanni, C-PA	en
dc.contributor.author	Asvestas, P	en
dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Nikita, AS	en
dc.contributor.author	Kelekis, D	en
dc.date.accessioned	2014-03-01T02:41:39Z
dc.date.available	2014-03-01T02:41:39Z
dc.date.issued	2001	en
dc.identifier.issn	05891019	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30582
dc.subject	Box-counting method	en
dc.subject	Brownian motion	en
dc.subject	Fractal dimension	en
dc.subject	Hepatic lesions	en
dc.subject	K-nearest neighbour method	en
dc.subject	Morphology	en
dc.title	A fractal analysis of CT liver images for the discrimination of hepatic lesions: A comparative study	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2001.1020508	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2001.1020508	en
heal.publicationDate	2001	en
heal.abstract	A quantitative study for the discrimination of different hepatic lesions is presented in this paper. The study is based on the fractal analysis of CT liver images in order to estimate their fractal dimension and to differentiate normal liver parenchyma from hepatocellular carcinoma. Four fractal dimension estimators have been implemented throughout this work; three well-established methods and a novel implementation of a method. Analytically, these methods correspond to the power spectrum method, the box counting method, the morphological fractal estimator and the novel modification of the kth-nearest neighbour method. The Fuzzy C-Means algorithm is finally applied revealing that the k-th nearest neighbour method outperforms the other methods; thus discriminating up to 93% of the normal parenchyma and up to 82% of the hepatocellular carcinoma, correctly.	en
heal.journalName	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en
dc.identifier.doi	10.1109/IEMBS.2001.1020508	en
dc.identifier.volume	2	en
dc.identifier.spage	1557	en
dc.identifier.epage	1560	en