C Rühlmann, K Kriesel, B Kuklinski, W Kriesel, K Freyer, M Steinert, H C Treutler
{"title":"[Computer-aided image processing of digital subtraction angiographs of the pelvis-leg region].","authors":"C Rühlmann, K Kriesel, B Kuklinski, W Kriesel, K Freyer, M Steinert, H C Treutler","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Within a clinical study on possible regression of arteriosclerotic processes in humans i.v. DSA-images were made and objectively evaluated. For the first time the digital system Densitron 4 was used for this. The image processing nodes of contrast enhancement, gray-scale and color conversion and stenosis evaluation by density sums are demonstrated for two selected cases from 52 intravenous digital subtraction angiographies of the pelvis-leg region. The results show, that digital image processing can enhance information-relevant detail. The preprocessing of densitometric values accounts for the third dimension of the vessel in its morphologic description. Compared with subjective visual evaluation the digital image interpretation facilitates a much higher degree of detectability of small detail located near the vessel walls and a more objective and reproducible evaluation of the degree of stenosis.</p>","PeriodicalId":20972,"journal":{"name":"Radiologia diagnostica","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiologia diagnostica","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Within a clinical study on possible regression of arteriosclerotic processes in humans i.v. DSA-images were made and objectively evaluated. For the first time the digital system Densitron 4 was used for this. The image processing nodes of contrast enhancement, gray-scale and color conversion and stenosis evaluation by density sums are demonstrated for two selected cases from 52 intravenous digital subtraction angiographies of the pelvis-leg region. The results show, that digital image processing can enhance information-relevant detail. The preprocessing of densitometric values accounts for the third dimension of the vessel in its morphologic description. Compared with subjective visual evaluation the digital image interpretation facilitates a much higher degree of detectability of small detail located near the vessel walls and a more objective and reproducible evaluation of the degree of stenosis.