J. Kubícek, I. Bryjova, M. Penhaker, M. Augustynek
{"title":"Extraction of Myocardial Fibrosis from MR Using Fuzzy Soft Thresholding Algorithm","authors":"J. Kubícek, I. Bryjova, M. Penhaker, M. Augustynek","doi":"10.1109/IIAI-AAI.2016.143","DOIUrl":null,"url":null,"abstract":"The article deals with complex analysis of myocardial fibrosis. Myocardial fibrosis is standardly examined by MRI. MRI generates image data with higher resolution but data are monochromatic. Due to this fact it is complicated to recognize individual object from images. Furthermore there is not any clinical software which would be able to objectify examination in the sense of extraction area of myocardial fibrosis. The proposed algorithm allows transformation area of myocardial fibrosis to color scale and thus it creates mathematical model of fibrosis. Mathematical model of myocardial fibrosis conclusively recognize area and manifestation of observed object. The proposed segmentation procedure serves for effective feedback for clinicians in the context assessing diagnosis.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2016.143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The article deals with complex analysis of myocardial fibrosis. Myocardial fibrosis is standardly examined by MRI. MRI generates image data with higher resolution but data are monochromatic. Due to this fact it is complicated to recognize individual object from images. Furthermore there is not any clinical software which would be able to objectify examination in the sense of extraction area of myocardial fibrosis. The proposed algorithm allows transformation area of myocardial fibrosis to color scale and thus it creates mathematical model of fibrosis. Mathematical model of myocardial fibrosis conclusively recognize area and manifestation of observed object. The proposed segmentation procedure serves for effective feedback for clinicians in the context assessing diagnosis.
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