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| Principal Investigator | |
| Principal Investigator's Name: | Jiacun Li |
| Institution: | Shandong Provincial Hospital |
| Department: | Imaging Department |
| Country: | |
| Proposed Analysis: | Dear ADNI and related staff, I am a graduate student of Shandong Provincial Hospital of China.Recently,I have been working on using artificial intelligence technology on magnetic resonance imaging to help clinical staff distinguish between hippocampal atrophy in Alzheimer's patients and hippocampal atrophy in normal brain aging.Then make a diagnosis of early Alzheimer's disease. AD as an irreversible neurodegenerative disease,the pathogenesis is very complex,and it is a very difficult challenge to clarify the pathogenesis and physiological characteristics of AD.Research reports show that hippocampal injury and atrophy can occur in the early AD,and the early tissue lesions of AD are limited to the hippocampus,so hippocampus atrophy is one of the most valuable indicators of diagnostic AD. Nevertheless,it is difficult to distinguish whether hippocampal atrophy is caused by AD or normal brain aging by naked eye observation of MRI images.Recently,AI technology has been widely used in AD computer-aided diagnosis and disease mechanism research. My research direction is to study,measure and extract the data and characteristics of the height of hippocampus,the volume of hippocampus,the width of temporal and insular thickness by AI technique,then to make differential diagnosis for Alzheimer's patients and normal brain aging patients,and to guide the treatment and prognosis of AD. I would be grateful to learn that your organization has a large number of imaging data of Alzheimer's patients,which is exactly what I urgently need. Looking forward to your reply. |
| Additional Investigators |
