Registration of brain tumor images using hyper-elastic regularization

Andac Hamamci; Gozde Unal

doi:10.1007/978-1-4614-6351-1_10

Registration of brain tumor images using hyper-elastic regularization

Andac Hamamci, Gozde Unal^*

^*Corresponding author for this work

Sabanci University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Computational Biomechanics for Medicine
Subtitle of host publication	Models, Algorithms and Implementation
Publisher	Springer New York
Pages	101-114
Number of pages	14
ISBN (Electronic)	9781461463511
ISBN (Print)	9781461463504
DOIs	https://doi.org/10.1007/978-1-4614-6351-1_10
Publication status	Published - 1 Jan 2013
Externally published	Yes

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© Springer Science+Business Media New York 2013.

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10.1007/978-1-4614-6351-1_10

Cite this

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Registration of brain tumor images using hyper-elastic regularization

Abstract

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