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Segmentation of the Brain in MRI Using Grey Level Morphology and Propagation of Information
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
1999 (English)In: Proceedings of SCIA'99, Pattern Recognition Society of Denmark, Lyngby , 1999, 367-373 p.Conference paper, Published paper (Refereed)
Abstract [en]

An important step in the analysis of 3D MRI brain images is to segment the cortex from surrounding tissue. In this paper we present an algorithm for fully automatic segmentation of the cortex from T1-weighted MRI data. The automatic segmentation starts wi

Place, publisher, year, edition, pages
Pattern Recognition Society of Denmark, Lyngby , 1999. 367-373 p.
National Category
Computer and Information Science
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URN: urn:nbn:se:uu:diva-34618ISBN: 87-88306-42-9 (print)OAI: oai:DiVA.org:uu-34618DiVA: diva2:62517
Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2010-05-07Bibliographically approved

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