Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model

Bauer, Stefan; Nolte, Lutz-Peter; Reyes, Mauricio (2011). Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model. In: ISBI'11: Proceedings of the 2011 IEEE international conference on Biomedical imaging (pp. 2018-2021). IEEE Press 10.1109/ISBI.2011.5872808

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We present an automatic method to segment brain tissues from volumetric MRI brain tumor images. The method is based on non-rigid registration of an average atlas in combination with a biomechanically justified tumor growth model to simulate soft-tissue deformations caused by the tumor mass-effect. The tumor growth model, which is formulated as a mesh-free Markov Random Field energy minimization problem, ensures correspondence between the atlas and the patient image, prior to the registration step. The method is non-parametric, simple and fast compared to other approaches while maintaining similar accuracy. It has been evaluated qualitatively and quantitatively with promising results on eight datasets comprising simulated images and real patient data.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

UniBE Contributor:

Bauer, Stefan; Nolte, Lutz-Peter and Reyes, Mauricio

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

1945-7928

ISBN:

978-1-4244-4128-0

Publisher:

IEEE Press

Language:

English

Submitter:

Mauricio Antonio Reyes Aguirre

Date Deposited:

04 Oct 2013 14:16

Last Modified:

05 Jan 2015 11:31

Publisher DOI:

10.1109/ISBI.2011.5872808

BORIS DOI:

10.7892/boris.4651

URI:

https://boris.unibe.ch/id/eprint/4651 (FactScience: 209196)

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