Deformable Registration Methods

Diploma thesis by Darko Zikic

Abstract

This thesis implements a variational method for deformable registration and applies it to different medical problems. First we explore different approaches to the problem of deformable registration of medical images. After comparing feature-based and intensity-based approaches, we concentrate on the intensity-based variational method for deformable registration. The main reason are the inherent difficulties of the feature-based methods, i.e. feature extraction and feature-matching. The intensity-based variational method presents a general framework that can be adapted using a variety of similarity measures and regularization terms. This way, it can be adapted to a wide range of medical registration problems for different imaging modalities. We present an implementation using efficient numerical methods. Finally the implemented method is performed for different medical applications.

Publications

The following publications resulted from the thesis.

	D. Zikic, W. Wein, A. Khamene, D.-A. Clevert, N. Navab Fast Deformable Registration of 3D-Ultrasound Using a Variational Approach Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006 (bib)
	D. Zikic, A. Khamene, N. Navab Intensity-Unbiased Force Computation for Variational Motion Estimation. Workshop on Image Registration in Deformable Environments in conjunction with the British Machine Vision Conference (BMVC 2006), Edinburgh, Scotland, September 2006 (bib)