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: | zihao guan |
| Institution: | Fujian Agriculture and Forestry University |
| Department: | College of Computer and Information Science |
| Country: | |
| Proposed Analysis: | Apply for data access for research of functional connectivity based AI aided diagnosis. |
| Additional Investigators | |
| Investigator's Name: | xinyue chang |
| Proposed Analysis: | Medical Image registration refers to seeking a spatial transformation (or a series of) for a medical image to make it spatially consistent with the corresponding points on another medical image. This consistency refers to the fact that the same anatomical point on the human body has the same spatial position on two matching images. The registration result should ensure that all anatomical points on the two images, or at least all diagnostic and surgical points of interest, are matched. When conducting medical image analysis, it is often necessary to analyze several images of the same patient together, in order to obtain comprehensive information about the patient from multiple aspects and improve the level of medical diagnosis and treatment. To quantitatively analyze several different images, the first step is to solve the strict alignment problem of these images, which is the registration of medical images |
