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.
CITATION STYLE
Hamamci, A., & Unal, G. (2013). Registration of brain tumor images using hyper-elastic regularization. In Computational Biomechanics for Medicine: Models, Algorithms and Implementation (pp. 101–114). Springer New York. https://doi.org/10.1007/978-1-4614-6351-1_10
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