Objectives: A particular problem in image registration arises for multi-modal images taken
from different imaging devices and/or modalities. Starting in 1995, mutual information has …

A particular problem in image registration arises for multi-modal images taken from different
imaging devices and/or modalities. Starting in 1995, mutual information has shown to be a …

One of the remaining challenges in image registration arises for multi-modal images taken
from different imaging devices and/or modalities. Starting in 1995, mutual information has …

Over the last five years, new “voxel-based” approaches have allowed important progress in
multimodal image registration, notably due to the increasing use of information-theoretic …

Image registration methods based on mutual information criteria, including mutual
information and normalized mutual information, have been widely used in 3-D multimodal …

The standard approach to multi-modal registration is to apply sophisticated similarity metrics
such as mutual information. The disadvantage of these metrics, in comparison to measuring …

The hierarchical subdivision strategy which decomposes a non-rigid matching problem into
numerous local rigid transformations is a very common approach in image registration …

Over the past ten years similarity measures based on intensity distributions have become
state-of-the-art in automatic multimodal image registration. An implementation for clinical …

This paper extends our prior work on multi-modal image registration based on the a priori
knowledge of the joint intensity distribution that we expect to obtain, and Kullback-Leibler …

Intensity based cost functions, also called voxel similarity measures, have recently come to
dominate the field of crossmodality or intermodality medical image registration. For same …