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:||KE GAN|
|Department:||College of Electronics and Information Engineering|
|Proposed Analysis:||Accurate and automated methods for measuring the thickness of human cerebral cortex could provide powerful tools for diagnosing and studying a variety of neurodegenerative and psychiatric disorders. Manual methods for estimating cortical thickness from neuroimaging data are labor intensive and inaccurate due to the highly folded nature of brain cortex. Several attempts have been made at automatic cortical thickness measurement. However, most of previously purposed methods suffered from at least one of following drawbacks, such as being computationally intensive, having limited accuracy and an ambiguous correspondence definition between the inner and outer surface of cortical sheet. For this reason, an new model for brain cortex is proposed and a efficient voxel-based thickness measurement method is used to generate whole brain thickness distribution map. The method is designed to be fast, accurate and robust to segmentation error. This method gives highly successful results on both computer-synthesized volume and real 3D brain MR images. We are now planning to apply our new cortical thickness measurement on ADNI dataset to validate the newly proposed method to see whether it can find out some valuable marker during the progression of Alzheimer's Disease.|