Improved tissue segmentation by including an MR acquisition model

Dirk H. J. Poot, Marleen de Bruijne, Meike W. Vernooij, M. Arfan Ikram, Wiro J. Niessen

Abstract

This paper presents a new MR tissue segmentation method. In contrast to most previous methods the image formation model includes the point spread function of the image acquisition. This allows optimal combination of images acquired with different contrast weighting, resolutions, and orientations. The proposed method computes the regularized maximum likelihood partial volume segmentation from the images. The quality the resulting segmentation is studied with a simulation experiment and by testing the reproducibility of the segmentation on repeated brain MRI scans. Our results demonstrate improved segmentation quality, especially at tissue edges.

Original languageEnglish
Title of host publicationMultimodal Brain Image Analysis : First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings
EditorsTianming Liu, Dinggang Shen, Luis Ibanez, Xiaodong Tao
Number of pages8
PublisherSpringer
Publication date2011
Pages152-159
ISBN (Print)978-3-642-24445-2
ISBN (Electronic)978-3-642-24446-9
DOIs
Publication statusPublished - 2011
Event1st International Workshop on Multimodal Brain Image Analysis - Toronto, Canada
Duration: 18 Sept 201118 Sept 2011
Conference number: 1

Conference

Conference1st International Workshop on Multimodal Brain Image Analysis
Number1
Country/TerritoryCanada
CityToronto
Period18/09/201118/09/2011
SeriesLecture notes in computer science
Volume7012
ISSN0302-9743

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