Tsuneo Kagawa, Hideki Kudo, S. Tanoue, H. Kiyosue, H. Mori, Hiroaki Nishino, K. Utsumiya
{"title":"A Supporting Method of Medical Imaging Diagnosis with Sonification","authors":"Tsuneo Kagawa, Hideki Kudo, S. Tanoue, H. Kiyosue, H. Mori, Hiroaki Nishino, K. Utsumiya","doi":"10.1109/CISIS.2012.144","DOIUrl":null,"url":null,"abstract":"Recently, Computer Aided Diagnosis (CAD) has become one of the most important for medical activity. The more exact and various CAD become, the larger amount of medical images are provided. Furthermore, these images become high definition. Radiologists have to cost their time and efforts to investigate these medical images. It is strongly required to reduce their burden without debasing the quality of imaging diagnosis. In this paper, we propose the technique to generate sound information based on the image features and discuss their sounds for diagnosis. Sonification technique helps for attention rousing and the fatigue reduction for medical imaging diagnosis.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIS.2012.144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Recently, Computer Aided Diagnosis (CAD) has become one of the most important for medical activity. The more exact and various CAD become, the larger amount of medical images are provided. Furthermore, these images become high definition. Radiologists have to cost their time and efforts to investigate these medical images. It is strongly required to reduce their burden without debasing the quality of imaging diagnosis. In this paper, we propose the technique to generate sound information based on the image features and discuss their sounds for diagnosis. Sonification technique helps for attention rousing and the fatigue reduction for medical imaging diagnosis.