Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …

This paper aims to present a review of recent as well as classic image registration methods.
Image registration is the process of overlaying images (two or more) of the same scene …

Feature-based methods for non-rigid registration frequently encounter the correspondence
problem. Regardless of whether points, lines, curves or surface parameterizations are used …

Models of shape variations have become a central component for the automated analysis of
images. An important class of shape models are point distribution models (PDMs). These …

Image registration is an important enabling technology in medical image analysis. The
current emphasis is on development and validation of application-specific non-rigid …

We introduce a strategy for learning image registration without acquired imaging data,
producing powerful networks agnostic to contrast introduced by magnetic resonance …

To master the fundamentals of image registration, there is no more comprehensive source
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …

A general-purpose deformable registration algorithm referred to as “DRAMMS” is presented
in this paper. DRAMMS bridges the gap between the traditional voxel-wise methods and …

The expanded and revised edition will split Chapter 4 to include more details and examples
in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound …