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: | Chang Liu |
| Institution: | University of South China |
| Department: | Electronic science and technology |
| Country: | |
| Proposed Analysis: | Image super-resolution is currently a hotspot issue in natural imaging, medical imaging, surveillance,and security. It allows to recover High-Resolution Images with better visual quality and refined details from the corresponding Low-Resolution Images. Magnetic Resonance Imaging (MRI) provides powerful support for disease diagnosis and treatment,On the other hand,high resolution MRI is expensive and subject to artifacts due to the elaborate hardware.Super-resolution reconstruction of MRI images thus offers new promises for mitigating the costs of high resolution MRI technology.Furthermore, the proposal of deep learning can effectively solve the problems related to MRI reconstruction.Therefore, we need relevant data sets to support this work. |
| Additional Investigators |
