Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
26
Session ID : C-1-1
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C-1-1 Automatic Detection of Blood Vessels in Legs from Fresh Blood Imaging Based on Particle Filter Algorithms
Hyoungseop KimYuiko KogaJoo Kooi TanSeiji IshikawaAkiyoshi Yamamoto
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Abstract

Recently, the Arterio sclerosis obliterans (ASO) caused by chronic ischemia of limbs increases. As one of the diagnosis methods to detect the ASO, MR image which is obtained fresh blood imaging (FBI) is used for visual screening in medical fields. In this paper, we propose a method to detect blood vessel regions in legs from the FBI images. Especially, we developed for preventing the spread outside of the region and the segment accuracy in peripheral artery areas that is improved by using particle filter algorithms. We performed our proposed method on to real MR images which is obtained by FBI method and satisfactory detection results of artery regions are achieved.

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© 2013 Biomedical Fuzzy Systems Association
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