Alzheimer's disease (AD) is a common health problem in elderly people. There has been
considerable research toward the diagnosis and early detection of this disease in the past …

Currently, medical imaging modalities produce different types of medical images to help
doctors to diagnose illnesses or injuries. Each modality of images has its specific intensity …

The fusion of data for medical imaging has become a central issue in such biomedical
applications as image-guided surgery and radiotherapy. The multi-level local extrema (MLE) …

Nowadays, Image fusion seems to be the most promising area in image processing. It plays
a pivotal role in different applications, namely medical diagnosis, object detection and …

Most of the traditional medical image fusion methods that use the multi-scale decomposition
schemes suffer from the bad image representations and the loss of the dependency in …

Medical image fusion is important in the field of clinical diagnosis because it can improve the
availability of information contained in images. Magnetic Resonance Imaging (MRI) provides …

Fusion of gray and pseudo-color images presents more information of biological tissues in a
single image and facilitates the interpretation of multimodalities in medical practice …

We propose a novel medical image fusion scheme based on the statistical dependencies
between coefficients in the nonsubsampled contourlet transform (NSCT) domain, in which …

A novel medical image fusion method is proposed in this paper based on the non-
subsampled contourlet transform (NSCT). Initially, the source images are decomposed …

This paper develops a new viscous fluid registration algorithm that makes use of a closed
incompressible viscous fluid model associated with mutual information. In our approach, we …