M. Kinishi, T. Okada, M. Hori, Yenwei Chen, Yoshinobu Sato
{"title":"三维尺度空间中线提取的分析——肝动脉血管中线的提取","authors":"M. Kinishi, T. Okada, M. Hori, Yenwei Chen, Yoshinobu Sato","doi":"10.1109/ICNC.2009.654","DOIUrl":null,"url":null,"abstract":"Recent developments in medical imaging technology have enabled us to acquire high-resolution datasets within a few minutes. It is important for a physician to recognize three-dimensional structure of vessels prior to any vascular treatments. However, extracting this structure is not a simple image processing task. In this paper, we propose an algorithm to extract hepatic artery from CT datasets through exhaustive searching method. The results for both simulated vessels and real datasets are presented. We also compared our method with two other methods regarding centerline extraction of vessels.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of Centerline Extraction in Three-Dimensional Scale Space - Extracting Centerline of Vessels in Hepatic Artery\",\"authors\":\"M. Kinishi, T. Okada, M. Hori, Yenwei Chen, Yoshinobu Sato\",\"doi\":\"10.1109/ICNC.2009.654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent developments in medical imaging technology have enabled us to acquire high-resolution datasets within a few minutes. It is important for a physician to recognize three-dimensional structure of vessels prior to any vascular treatments. However, extracting this structure is not a simple image processing task. In this paper, we propose an algorithm to extract hepatic artery from CT datasets through exhaustive searching method. The results for both simulated vessels and real datasets are presented. We also compared our method with two other methods regarding centerline extraction of vessels.\",\"PeriodicalId\":235382,\"journal\":{\"name\":\"2009 Fifth International Conference on Natural Computation\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fifth International Conference on Natural Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2009.654\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fifth International Conference on Natural Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2009.654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Centerline Extraction in Three-Dimensional Scale Space - Extracting Centerline of Vessels in Hepatic Artery
Recent developments in medical imaging technology have enabled us to acquire high-resolution datasets within a few minutes. It is important for a physician to recognize three-dimensional structure of vessels prior to any vascular treatments. However, extracting this structure is not a simple image processing task. In this paper, we propose an algorithm to extract hepatic artery from CT datasets through exhaustive searching method. The results for both simulated vessels and real datasets are presented. We also compared our method with two other methods regarding centerline extraction of vessels.