The semiquantitative analysis of perfusion single‐photon emission computed tomography
(SPECT) images requires a reproducible, objective method. Automated spatial …

Mutual information is a widely used similarity measure for aligning multimodal medical
images. At its core it relies on the computation of a discrete joint histogram, which itself …

Caffeine is not considered addictive, and in animals it does not trigger metabolic increases
or dopamine release in brain areas involved in reinforcement and reward. Our objective was …

Autoradiographic analysis of the functional changes occurring in the rat brain are most often
performed on coronal sections that allow a good insight into the events occurring at the …

Mutual information has been proposed as a criterion for image registration. The criterion is
calculated from a two-dimensional grey-scale histogram of the image pair being registered …

A novel functional magnetic resonance imaging (fMRI) brain mapping method is presented
within the statistical modeling framework of hidden semi-Markov event sequence models …

The co‐occurrence of infantile convulsions and childhood paroxysmal choreoathetosis
(ICCA syndrome) has recently been reported in several families. The pattern of familial …

The purpose of this paper is to provide a review of computational intelligence techniques
and their application to medical image registration. Each computational intelligence …

A probabilistic deformable model for the representation of multiple brain structures is
described. The statistically learned deformable model represents the relative location of …

A common framework for 3-D image registration consists in minimizing a cost (or energy)
function that expresses the pixel or voxel similarity of the images to be aligned. Standard …