ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.
|Principal Investigator's Name:||Rita Simoes|
|Institution:||University of Twente|
|Department:||Signals and Systems|
|Proposed Analysis:||Most methods used in the analysis of longitudinal changes in the brains of Alzheimer patients focus on the large-scale deformations of the brain and/or brain regions. These deformation-based approaches tend to overlook the occurrence of small and subtle changes, such as white matter lesions or perfusion deficits. Several automatic change detection methods have been proposed, which make no assumptions about the type of change to be expected. However, they have been mostly applied in the detection of small changes, such as in Multiple Sclerosis or in tumour evolution. Our goal is to develop methods that can be suitable for accurate change detection and quantification. Part of our work will include a study on the methods' sensitivity to the several preprocessing stages of any longitudinal image analysis, such as registration and intensity correction. We are currently considering a Change Vector Analysis approach for multimodal change detection, which uses the magnitude and the phase of a change vector (defined as the difference between the feature vectors at two time points) in order to localize and discriminate changed regions.|