Assessment of Similarity Measures for Accurate Deformable Image Registration

Similarity measures for image registration

Normalized similarity measures for medical image registration

Two new similarity measures for rigid image registration, based on the normalization of Jensen’s difference applied to Rényi and Tsallis-Havrda-Charvát entropies, are introduced. One measure is normalized by the first term of Jensen’s difference, which in our proposal coincides with the marginal entropy, and the other by the joint entropy. These measures can be seen as an extension of two measu...

Voxel Similarity Measures for Automated Image Registration

We present the concept of the feature space sequence: 2D distributions of voxel features of two images generated at registration and a sequence of misregistrations. We provide an explanation of the structure seen in these images. Feature space sequences have been generated for a pair of MR image volumes identical apart from the addition of Gaussian noise to one, MR image volumes with and withou...

Evaluation of deformable image registration in HDR gynecological brachytherapy

Introduction: In brachytherapy, as in external radiotherapy, image-guidance plays an important role. For GYN treatments it is standard to acquire at least CT images and preferably MR images prior to each treatment and to calculate the dose of the day on each set of images. Then, the dose to the target and to the organs at risk (OAR) is calculated with worst case scenario from I...

Tools for Deformable Image Registration

Medical imaging sensors can be used to noninvasively probe tissue morphology and monitor material deformations associated with growth, disease, or normal physiology. Deformable image registration provides a framework for extracting and quantifying this information. Image registration is, however, an inherently ill-posed inverse problem. The research in this dissertation investigates techniques ...