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 …

This review introduces a novel deformable image registration paradigm that exploits Markov
random field formulation and powerful discrete optimization algorithms. We express …

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 …

A new approach is presented for elastic registration of medical images, and is applied to
magnetic resonance images of the brain. Experimental results demonstrate very high …

Medical image registration is a challenging problem, especially when there is large
anatomical variation in the anatomies. Geodesic registration methods have been proposed …

We present VoxelMorph, a fast learning-based framework for deformable, pairwise medical
image registration. Traditional registration methods optimize an objective function for each …

We previously presented an image registration method, referred to hierarchical attribute
matching mechanism for elastic registration (HAMMER), which demonstrated relatively high …

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 …

Volumetric registration of brain MRI is routinely used in human neuroimaging, eg, to align
different MRI modalities, to measure change in longitudinal analysis, to map an individual to …

This paper presents a new framework for capturing large and complex deformations in
image registration and atlas construction. This challenging and recurrent problem in …