A method for processing images prior to normalized mutual information based registration and an enhancement of the registration measure are presented. The method relies on k-means ...
Zeger F. Knops, J. B. Antoine Maintz, Max A. Vierg...
In this paper we propose a Markov random field (MRF) based method for joint registration and segmentation of cardiac perfusion images, specifically the left ventricle (LV). MRFs ...
Abstract. In this paper we propose a two-step mutual informationbased algorithm for medical image segmentation. In the first step, the image is structured into homogeneous regions,...
Jaume Rigau, Miquel Feixas, Mateu Sbert, Anton Bar...
Conventional mutual information (MI)-based registration using pixel intensities is time-consuming and ignores spatial information, which can lead to misalignment. We propose a met...
In this paper, a novel one-element voxel attribute, namely distance-intensity (DI), is defined for associating spatial information with image intensity for registration tasks. For...