This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
In this paper we evaluate three conceptually different approaches to mesh generation for deformable Finite Element Method (FEM) registration of Magnetic Resonance (MR) images of b...
Andriy Fedorov, Nikos Chrisochoides, Ron Kikinis, ...
We propose a method for brain atlas deformation in presence of large space-occupying tumors, based on an a priori model of lesion growth that assumes radial expansion of the lesio...
Meritxell Bach Cuadra, Claudio Pollo, Anton Barder...
This paper addresses the registration of ultrasound scans and magnetic resonance (MR ) volume datasets of the same patient. During a neurosurgery intervention, pre–operative MR i...
In this paper, we introduce a novel approach to bridge the gap between the landmark-based and the iconic-based voxel-wise registration methods. The registration problem is formulat...
Aristeidis Sotiras, Yangming Ou, Ben Glocker, Chri...