Registration of brain tumor images using hyper-elastic regularization

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)

Full text not available from this repository.

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
ID Code:	22846
Deposited By:	Gözde Ünal
Deposited On:	22 Jan 2014 11:05
Last Modified:	27 Feb 2014 11:47

Repository Staff Only: item control page