使用三維匹配篩檢程式來做血管影像分割;Using Three Dimensional Matched Filter for Blood Vessel Segmentation

NCUIR > Research Center > Research Center for adaptive Data analysis > Research Project > Item 987654321/63188

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/63188

Title:	使用三維匹配篩檢程式來做血管影像分割;Using Three Dimensional Matched Filter for Blood Vessel Segmentation
Authors:	黃輝揚;李崇維;廖漢文
Contributors:	國立中央大學數據分析方法研究中心
Keywords:	醫學工程;資訊科學;軟體
Date:	2012-12-01
Issue Date:	2014-03-17 14:21:12 (UTC+8)
Publisher:	行政院國家科學委員會
Abstract:	研究期間：10108~10207;Accurate blood vessel segmentation is the most important process in computer vision and computer-aided diagnosis systems. However, the various diameters of targeted blood vessels, varied contrast agent concentration in the blood, and different circulation rates have made blood vessel segmentation the most complicated and difficult step in medical image processing. We examine a new approach called multiscale two-dimensional matched filters to segment blood vessels in retina images. Unlike previously published work, this new method uses multiplication to collect matched filtering responses under different scales. The results look better and promising. In this research project, we intend to extend this newly developed multiscale method to the field of three-dimensional (3D) blood vessel segmentation for CT angiography. In order to be able to study the new method's performance thoroughly, we will conduct a series of phantom studies to validate the segmentation accuracy. With the help of phantom studies, we hope we can incorporate the new method to our computer-aided diagnosis system to improve diagnostic accuracy for 3D blood vessel images.
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Research Center for adaptive Data analysis ] Research Project

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