Multi-Scale Modeling for Image Analysis of Brain Tumor Studies

Bauer, Stefan; May, Christian; Dionysiou, Dimitra; Stamatakos, Georgios; Büchler, Philippe; Reyes, Mauricio (2011). Multi-Scale Modeling for Image Analysis of Brain Tumor Studies. IEEE transactions on biomedical engineering, 59(1), pp. 25-29. New York, N.Y.: Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2011.2163406

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Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas to MR images of tumor patients. In order to establish correspondence between a healthy atlas and a pathologic patient image, tumor growth modeling in combination with registration algorithms is employed. In a first step, the tumor is grown in the atlas based on a new multi-scale, multi-physics model including growth simulation from the cellular level up to the biomechanical level, accounting for cell proliferation and tissue deformations. Large-scale deformations are handled with an Eulerian approach for finite element computations, which can operate directly on the image voxel mesh. Subsequently, dense correspondence between the modified atlas and patient image is established using nonrigid registration. The method offers opportunities in atlasbased segmentation of tumor-bearing brain images as well as for improved patient-specific simulation and prognosis of tumor progression.

Item Type:

Journal Article (Original Article)

Division/Institute:

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

UniBE Contributor:

Bauer, Stefan; May, Christian; Büchler, Philippe and Reyes Aguirre, Mauricio Antonio

ISSN:

0018-9294

Publisher:

Institute of Electrical and Electronics Engineers IEEE

Language:

English

Submitter:

Mauricio Antonio Reyes Aguirre

Date Deposited:

04 Oct 2013 14:16

Last Modified:

07 Feb 2015 14:39

Publisher DOI:

10.1109/TBME.2011.2163406

Web of Science ID:

000298327100007

BORIS DOI:

10.7892/boris.4649

URI:

https://boris.unibe.ch/id/eprint/4649 (FactScience: 209194)

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