There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Amir ElTabakh |
| Institution: | New York University |
| Department: | Department of Global Public Health |
| Country: | |
| Proposed Analysis: | This project aims to provide a MRI-based spatial normalization pipeline to map Alzheimer's patients’ PET images to a standard brain template with brain regions of interest. We hope to offer a user-friendly package in Python at the end. Specifically, the pipeline includes the following steps for each patient: (1) co-register the patient’s PET image to the corresponding T1 MRI by rigid registration; (2) nonlinearly warp the patient’s T1 MRI image to the T1 MRI brain template; (3) use the warp-field of step (2) to transform the co-registered PET image of step (1) to the T1 MRI brain template. |
| Additional Investigators |
