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: | liang boxu |
| Institution: | hunan university |
| Department: | college of Electrical and Information Engineering |
| Country: | |
| Proposed Analysis: | In radiotherapy, CT and MR images need to be fused, but CT irradiation will be radiated, thus increasing the risk of cancer in patients. Therefore, in recent years, radiotherapy using ONLY MR images has become a research hotspot, and it is of great significance to transform MRI images into CT images. |
| Additional Investigators | |
| Investigator's Name: | tang zhongrui |
| Proposed Analysis: | MR to CT image synthesis plays an important role in medical image analysis, and its applications included, but not limited to PET-MR attenuation correction and MR only radiation therapy planning. Recently, deep learning-based image synthesiMR to CT image synthesis plays an important role in medical image analysis, and its applications included, but not limited to PET-MR attenuation correction and MR only radiation therapy planning. Recently, deep learning-based image synthesis techniques have achieved much success. However, most of the current methods require large scales of paired data from two different modalities, which greatly limits their usage as in some situation paired data is infeasible to obtains techniques have achieved much success. However, most of the current methods require large scales of paired data from two different modalities, which greatly limits their usage as in some situation paired data is infeasible to obtain |
