{"title":"A Novel Interactive Image Processing Approach for DICOM Medical Image Data","authors":"Zhanli Hu, Hairong Zheng, Jianbao Gui","doi":"10.1109/BMEI.2009.5304840","DOIUrl":null,"url":null,"abstract":"The development of more flexible and accurate medical image processing technique and platform is important requirement for clinical diagnosis and treatment. A new interactive image processing method is proposed in this work. Using this method, image smoothing, sharpening, histogram processing, pseudo-color processing, segmentation, reading, local amplification and measurement for medical image in DICOM format can be realized. Application of the method for processing human CT image data demonstrated the method is a convenient and flexible approach for medical image processing. This user-friendly image processing technique could be clinically useful to assist image analysis and diagnosis. Keywords-DICOM; medical image; image processing; local amplification","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"140 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2009.5304840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The development of more flexible and accurate medical image processing technique and platform is important requirement for clinical diagnosis and treatment. A new interactive image processing method is proposed in this work. Using this method, image smoothing, sharpening, histogram processing, pseudo-color processing, segmentation, reading, local amplification and measurement for medical image in DICOM format can be realized. Application of the method for processing human CT image data demonstrated the method is a convenient and flexible approach for medical image processing. This user-friendly image processing technique could be clinically useful to assist image analysis and diagnosis. Keywords-DICOM; medical image; image processing; local amplification