Journal article
Atlas-based segmentation of brain tumor images using a Markov random field-based tumor growth model and non-rigid registration.
- Bauer S Institute of Surgical Technology and Biomechanics, University of Bern, Switzerland. stefan.bauer@istb.unibe.ch
- Seiler C
- Bardyn T
- Buechler P
- Reyes M
- 2010-11-25
Published in:
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. - 2010
English
We propose a new and clinically oriented approach to perform atlas-based segmentation of brain tumor images. A mesh-free method is used to model tumor-induced soft tissue deformations in a healthy brain atlas image with subsequent registration of the modified atlas to a pathologic patient image. The atlas is seeded with a tumor position prior and tumor growth simulating the tumor mass effect is performed with the aim of improving the registration accuracy in case of patients with space-occupying lesions. We perform tests on 2D axial slices of five different patient data sets and show that the approach gives good results for the segmentation of white matter, grey matter, cerebrospinal fluid and the tumor.
- Language
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- English
- Open access status
- closed
- Identifiers
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- DOI 10.1109/IEMBS.2010.5627302
- PMID 21096622
- Persistent URL
- https://sonar.ch/global/documents/132343
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