{"title":"MRI brain image segmentation using an AM-FM model","authors":"M.S. Patichis, H. Petropoulos, W. Brooks","doi":"10.1109/ACSSC.2000.910646","DOIUrl":null,"url":null,"abstract":"MRI brain images are characterized by non-stationary components that make fully automated segmentation a challenging task. An AM-FM model is used to model these non-stationarities. Using the AM-FM model, a new, fully automated texture segmentation system is used to automatically segment the cerebellum from a 3-D set of MRI brain images.","PeriodicalId":10581,"journal":{"name":"Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)","volume":"6 1","pages":"906-910 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"2000-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2000.910646","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
MRI brain images are characterized by non-stationary components that make fully automated segmentation a challenging task. An AM-FM model is used to model these non-stationarities. Using the AM-FM model, a new, fully automated texture segmentation system is used to automatically segment the cerebellum from a 3-D set of MRI brain images.
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