{"title":"A Segmentation Based Lossless Compression Scheme for Volumetric Medical Image Data","authors":"Qiusha Min, R. Sadleir","doi":"10.1109/IMVIP.2011.26","DOIUrl":null,"url":null,"abstract":"It is not acceptable to use loss less techniques when compressing medical image data, and as a result, it is difficult to achieve high compression ratios. We have developed a novel segmentation based compression scheme to overcome this problem and our experimental results indicate that this scheme is capable of achieving a high level of compression without sacrificing the quality of the patient data.","PeriodicalId":179414,"journal":{"name":"2011 Irish Machine Vision and Image Processing Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Irish Machine Vision and Image Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMVIP.2011.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
It is not acceptable to use loss less techniques when compressing medical image data, and as a result, it is difficult to achieve high compression ratios. We have developed a novel segmentation based compression scheme to overcome this problem and our experimental results indicate that this scheme is capable of achieving a high level of compression without sacrificing the quality of the patient data.
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