{"version":1,"kind":"Article","sha256":"","slug":"604","location":"","dependencies":[],"doi":"10.54294/nbrfiw","frontmatter":{"title":"Multiple Sclerosis Detection in Multispectral Magnetic Resonance Images with Principal Components Analysis.","abstract":"This paper presents a local feature vector based method for automated Multiple Sclerosis (MS) lesion segmentation of multi spectral MRI data. Twenty datasets from MS patients with FLAIR, T1,T2, MD and FA data with expert annotations are available as training set from the MICCAI 2008 challenge on MS, and 24 test datasets. Our local feature vector method contains neighbourhood voxel intensities, histogram and MS probability atlas information. Principal Component Analysis(PCA) \\cite{PCA} with log-likelihood ratio is used to classify each voxel. MRI suffers from intensity inhomogenities. We try to correct this ''bias field'' with 3 methods: a genetic algorithm, edge preserving filtering and atlas based correction. A large observer variability exist between expert classifications, but the similarity scores between model and expert classifications are often lower. Our model gives the best classification results with raw data, because bias correction gives artifacts at the edges and flatten large MS lesions.","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["Non-rigid Registration","FLAIR","Feature Vector","Multiple Sclerosis","Lesions","PCA","MR","Bias Field"],"authors":[{"name":"Kroon, Dirk-Jan","email":"d.kroon@utwente.nl","affiliations":["University of Twente"],"corresponding":true},{"name":"van Oort, Erik","affiliations":[]},{"name":"Slump, Kees","affiliations":[]}],"date_submitted":"2008-07-12T21:30:17Z","external_publication_id":604,"revision_cids":["bafkreiblpfeqzdot65xn4cgnvrv5bknzplmxncy45rexg2yiexuumyzpey"]},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreicbxmiv2jx6vx25l2yy4ntm6u7de72dum56jjady7tjqznr4he7d4","title":"root/reviews.md","filename":"reviews.md","extra":{"size_bytes":1466,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreid2xlhqtj4pqlk545dpooj4tkrswyns4ekik22m3asrc5mw2agidm","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":9509,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreidheuwv5lhbsekvdt5kwy65uzgx3xa4ivnejysra5zdhygid2tmny","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":742724,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10","ref11","ref12"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1093/oso/9780195099713.003.0007","html":"ck. 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