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 language | English |
---|---|
Title of host publication | Multimodal Brain Image Analysis : First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings |
Editors | Tianming Liu, Dinggang Shen, Luis Ibanez, Xiaodong Tao |
Number of pages | 8 |
Publisher | Springer |
Publication date | 2011 |
Pages | 152-159 |
ISBN (Print) | 978-3-642-24445-2 |
ISBN (Electronic) | 978-3-642-24446-9 |
DOIs | |
Publication status | Published - 2011 |
Event | 1st International Workshop on Multimodal Brain Image Analysis - Toronto, Canada Duration: 18 Sept 2011 → 18 Sept 2011 Conference number: 1 |
Conference
Conference | 1st International Workshop on Multimodal Brain Image Analysis |
---|---|
Number | 1 |
Country/Territory | Canada |
City | Toronto |
Period | 18/09/2011 → 18/09/2011 |
Series | Lecture notes in computer science |
---|---|
Volume | 7012 |
ISSN | 0302-9743 |