Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1904
Title: | Segmentation of dual modality brain PET/CT images using the MAP-MRF model | Authors: | Xia, Y Wen, L Eberl, S Fulham, MJ Feng, DD |
Issue Date: | 2008 | Source: | Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing : 8-10 October, 2008, Cairns, Australia, p. 107-110 | Abstract: | Dual modality PET/CT has now essentially replaced PET in clinical practice and provided an opportunity to improve image segmentation through the high resolution, lower noise CT data. Thus far most research efforts have concentrated on segmentation of PET-only data. In this work we propose a systematic solution for the automated segmentation of brain PET/CT images into gray, white matter and CSF regions with the MAP-MRF model. Our approach takes advantage of the full information available from the combined scan. A PET/CT image pair and its segmentation result are modelled as a random field triplet, and segmentation is eventually achieved by solving a maximum a posteriori (MAP) problem using the expectation-maximization (EM) algorithm with simulated annealing. We compared the novel algorithm to two widely used PET-only based segmentation methods in the SPM5 toolbox and the VBM toolbox for simulation and patient data. Our results suggest that using the proposed approach substantially improves the accuracy of the delineation of brain structures. | Keywords: | Markov processes Brain Expectation-maximisation algorithm Image segmentation Medical image processing Positron emission tomography |
Publisher: | IEEE | ISBN: | 978-1-4244-2295-1 | DOI: | 10.1109/MMSP.2008.4665057 | Rights: | © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Xia_et_al_Dual_Modality_Brain.pdf | 370.03 kB | Adobe PDF | View/Open |
Page views
141
Last Week
1
1
Last month
Citations as of Sep 22, 2024
Downloads
347
Citations as of Sep 22, 2024
SCOPUSTM
Citations
15
Last Week
0
0
Last month
0
0
Citations as of Sep 26, 2024
WEB OF SCIENCETM
Citations
10
Last Week
0
0
Last month
0
0
Citations as of Jun 27, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.