{"title":"准确计算自发性脑内血肿容积","authors":"Radosław Cichocki, M. Tabakov, H. Kwasnicka","doi":"10.1145/1456223.1456254","DOIUrl":null,"url":null,"abstract":"In this paper we introduce a method for calculating the volume of spontaneous intracerebral hematomas from a sequence of tomographic scans. The described approach is a modification of a gold standard method called step-section planimetry. It uses image interpolation techniques to increase the accuracy of the obtained volume and employs semi-automatic segmentation to facilitate physicians' work. The method is designed to perform especially well for highly irregular shapes that are characteristic for intracerebral hematomas. The obtained results are compared with two existing commercial approaches.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calculating accurate volume of spontaneous intracerebral hematoma\",\"authors\":\"Radosław Cichocki, M. Tabakov, H. Kwasnicka\",\"doi\":\"10.1145/1456223.1456254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we introduce a method for calculating the volume of spontaneous intracerebral hematomas from a sequence of tomographic scans. The described approach is a modification of a gold standard method called step-section planimetry. It uses image interpolation techniques to increase the accuracy of the obtained volume and employs semi-automatic segmentation to facilitate physicians' work. The method is designed to perform especially well for highly irregular shapes that are characteristic for intracerebral hematomas. The obtained results are compared with two existing commercial approaches.\",\"PeriodicalId\":309453,\"journal\":{\"name\":\"International Conference on Soft Computing as Transdisciplinary Science and Technology\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Soft Computing as Transdisciplinary Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1456223.1456254\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Soft Computing as Transdisciplinary Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1456223.1456254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculating accurate volume of spontaneous intracerebral hematoma
In this paper we introduce a method for calculating the volume of spontaneous intracerebral hematomas from a sequence of tomographic scans. The described approach is a modification of a gold standard method called step-section planimetry. It uses image interpolation techniques to increase the accuracy of the obtained volume and employs semi-automatic segmentation to facilitate physicians' work. The method is designed to perform especially well for highly irregular shapes that are characteristic for intracerebral hematomas. The obtained results are compared with two existing commercial approaches.