J. Lerdsinmongkol, K. Chaisaowong, S. Roongruangsorakarn, T. Kraus, T. Aach
{"title":"三维形态学操作在计算机辅助诊断系统框架中的高效应用","authors":"J. Lerdsinmongkol, K. Chaisaowong, S. Roongruangsorakarn, T. Kraus, T. Aach","doi":"10.1109/ICOSP.2008.4697263","DOIUrl":null,"url":null,"abstract":"Pleural thickenings as biomarker of exposure to asbestos may evolve into malignant pleural mesothelioma. The diagnosis is based on a visual investigation of CT images, which is a time consuming and subjective procedure. Our image processing system identifies the pleural contours and detects pleural thickenings. In two algorithm steps, namely the detection of the thorax and the removal of air and trachea, 3D morphological operations were implemented and tested, in order to find an optimum of its application in the aspect of calculation expense and accuracy. After an evaluation, we obtained an experimental optimum for both algorithm steps.","PeriodicalId":445699,"journal":{"name":"2008 9th International Conference on Signal Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Efficient application of 3D morphological operations in the framework of a computer-assisted diagnosis system\",\"authors\":\"J. Lerdsinmongkol, K. Chaisaowong, S. Roongruangsorakarn, T. Kraus, T. Aach\",\"doi\":\"10.1109/ICOSP.2008.4697263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pleural thickenings as biomarker of exposure to asbestos may evolve into malignant pleural mesothelioma. The diagnosis is based on a visual investigation of CT images, which is a time consuming and subjective procedure. Our image processing system identifies the pleural contours and detects pleural thickenings. In two algorithm steps, namely the detection of the thorax and the removal of air and trachea, 3D morphological operations were implemented and tested, in order to find an optimum of its application in the aspect of calculation expense and accuracy. After an evaluation, we obtained an experimental optimum for both algorithm steps.\",\"PeriodicalId\":445699,\"journal\":{\"name\":\"2008 9th International Conference on Signal Processing\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 9th International Conference on Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.2008.4697263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 9th International Conference on Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2008.4697263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient application of 3D morphological operations in the framework of a computer-assisted diagnosis system
Pleural thickenings as biomarker of exposure to asbestos may evolve into malignant pleural mesothelioma. The diagnosis is based on a visual investigation of CT images, which is a time consuming and subjective procedure. Our image processing system identifies the pleural contours and detects pleural thickenings. In two algorithm steps, namely the detection of the thorax and the removal of air and trachea, 3D morphological operations were implemented and tested, in order to find an optimum of its application in the aspect of calculation expense and accuracy. After an evaluation, we obtained an experimental optimum for both algorithm steps.
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