Hamamcı, Andaç and Ünal, Gözde (2013) Registration of brain tumor images using hyper-elastic regularization. In: Wittek, Adam and Miller, Karol and Nielsen, Poul M.F., (eds.) Computational Biomechanics for Medicine: Models, Algorithms and Implementation. Springer, New York, pp. 101-114. ISBN 978-1-4614-6350-4 (Print) 978-1-4614-6351-1 (Online)
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Official URL: http://dx.doi.org/10.1007/978-1-4614-6351-1_10
Abstract
In this paper, we present a method to estimate a deformation field between two instances of a brain volume having tumor. The novelties include the assessment of the disease progress by observing the healthy tissue deformation and usage of the Neo-Hookean strain energy density model as a regularizer in deformable registration framework. Implementations on synthetic and patient data provide promising results, which might have relevant use in clinical problems.
| Item Type: | Book Section / Chapter |
|---|---|
| Subjects: | R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics |
| Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Electronics Faculty of Engineering and Natural Sciences |
| Depositing User: | Gözde Ünal |
| Date Deposited: | 22 Jan 2014 11:05 |
| Last Modified: | 26 Apr 2022 08:31 |
| URI: | https://research.sabanciuniv.edu/id/eprint/22846 |
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