Developing a Public Dataset for 15O-H2O PET/MRI with ASL Perfusion in Healthy Controls and Moyamoya Patients: Methods, Validation & Applications

Motivation: Create a publicly available dataset combining non-invasive ASL perfusion imaging and simultaneous 15O-H2O PET/MRI to facilitate research replication, deep learning model training, and advance open science initiatives. Goal(s): Introduce and validate a dataset comparing ASL perfusion imaging against gold-standard 15O-H2O PET/MRI to improve reproducibility studies and support research in healthy controls and Moyamoya patients. . Approach: Imaging data from 70 healthy controls and 50 Moyamoya patients using 3T PET/MRI covered structural, DWI, ASL perfusion, DSC, and 15O-H2O PET data. Data were harmonized and validated per BIDS specifications. Results: The dataset passed BIDs validation and included demographics, raw data, BIDS-compliant metadata, and derivatives(CBF maps). Impact: This dataset can significantly advance neuroimaging research by enabling reproducibility studies, validating ASL imaging against PET, and supporting artificial intelligence approaches. It provides a critical resource for scientists, clinicians, and data-driven innovations.