{"title":"A multi-scale method for extraction of cerebral blood vessles","authors":"Shi-feng Zhao, Zhongke Wu, Mingquan Zhou","doi":"10.1109/PIC.2010.5687927","DOIUrl":null,"url":null,"abstract":"Segmentation is one of the most challenging problems in the field of medical image analysis, and blood vessels are especially difficult to extract. In this paper, we propose a novel method for segmentation of cerebral blood vessels from magnetic resonance angiography (MRA) images based on Frangi's vesselness measure and ball B-Spline. First, we apply Frangi's vesselness measure to find putative centerlines of tubular structures along with their estimated radii. Then the ball B-Spline method is adopted to construct the 3D vascular trees. Results on head MRA datasets demonstrate the availability of the method.","PeriodicalId":142910,"journal":{"name":"2010 IEEE International Conference on Progress in Informatics and Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Progress in Informatics and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIC.2010.5687927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Segmentation is one of the most challenging problems in the field of medical image analysis, and blood vessels are especially difficult to extract. In this paper, we propose a novel method for segmentation of cerebral blood vessels from magnetic resonance angiography (MRA) images based on Frangi's vesselness measure and ball B-Spline. First, we apply Frangi's vesselness measure to find putative centerlines of tubular structures along with their estimated radii. Then the ball B-Spline method is adopted to construct the 3D vascular trees. Results on head MRA datasets demonstrate the availability of the method.
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