One focus of research in the Quantitative Imaging Analysis Program is to measure the myocardial blood flow (MBF) of first-pass perfusion at magnetic resonance imaging. Unlike conventional qualitative and semiquantitative methods, our approach generates fully quantitative measurements by using Fermi function deconvolution to determine the absolute myocardial perfusion value. Meanwhile, a dual-resolution perfusion sequence is employed to provide accurate assessment of arterial input function, which is essential in absolute MBF quantification.
Another research focus is on brain image analysis. We provide services on brain structural and functional image processing, statistical analysis and visualization. Briefly, we are working on structural, functional and diffusion MR images on the following topics: tissue segmentation, spatial normalization, brain labeling, cortical surface analysis, voxel-based morphometry, resting- and task-state functional connectivity, diffusion-tract-based spatial statistics, fiber tractography, brain connectome, and computer-aided disease diagnosis and prediction.
Additionally, our research emphasis is on:
- Automated derivation of imaging measures from noninvasive cardiac images
- Clinical implementation of novel automated computer processing algorithms
- Machine learning integration of imaging biomarkers to predict risk