{"title":"一种多尺度脑血管提取方法","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":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"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\":null,\"pages\":null},\"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}","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}
A multi-scale method for extraction of cerebral blood vessles
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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