M. Vannier, C. M. Speidel, D. Rickman, L. Schertz, Lynette R. Baker, C. Hildebolt, C. J. Offutt, J. A. Balko, R. L. Butterfield, M. Gado
{"title":"Validation of magnetic resonance imaging (MRI) multispectral tissue classification","authors":"M. Vannier, C. M. Speidel, D. Rickman, L. Schertz, Lynette R. Baker, C. Hildebolt, C. J. Offutt, J. A. Balko, R. L. Butterfield, M. Gado","doi":"10.1109/ICPR.1988.28467","DOIUrl":null,"url":null,"abstract":"NASA multispectral image processing technology has been adapted to the analysis of magnetic resonance imaging (MRI) scans. A statistical evaluation of multispectral analysis applied to tissue classification in MRI brain scans has been performed. The radiometric and geometric distortions introduced by the MRI scanner can be removed before feature extraction and classification. Signatures may be derived from one set of multispectral MR images at a single anatomic level and be applied in the same subject at later times, to other anatomic levels containing the same tissues, or to other subjects.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"106","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 106
Abstract
NASA multispectral image processing technology has been adapted to the analysis of magnetic resonance imaging (MRI) scans. A statistical evaluation of multispectral analysis applied to tissue classification in MRI brain scans has been performed. The radiometric and geometric distortions introduced by the MRI scanner can be removed before feature extraction and classification. Signatures may be derived from one set of multispectral MR images at a single anatomic level and be applied in the same subject at later times, to other anatomic levels containing the same tissues, or to other subjects.<>