| Title: | Create multi-modal brain image priors for use in Bayesian models to be applied in stroke lesion segmentation and AD diagnosis studies |
| Lead Institution: | Shanghai Jiao Tong University |
| Principal investigator: |
Application 93346
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About
Stroke and neurodegenerative disorders such as Alzheimer's disease are among the leading causes of death worldwide and have imposed a heavy economic burden on society. The development of imaging-based biomarkers for the early and accurate diagnosis of them is of critical clinical need. In this research, we seek to: (1) characterize the normal brain features using the UK Biobank imaging data; (2) develop a lesion detection algorithm that separates the lesion tissue from normal brain tissue using Biobank image data; (3) develop an algorithm for the early detection of Alzheimer's disease using Biobank image data; (4) Investigate the influence of genetic and environmental risk factors to the variations in brain features.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 16586 | Age- and Sex-Specific Cerebral Blood Flow Atlases for Healthy Brain Across the Lifespan | Ziyu Meng (+6) | 2025 | Scientific Data |
Enabling scientific discoveries that improve human health