Research
MR physics, image reconstruction, and machine learning for cardiovascular diseases & cancer
- Motion-resolved quantitative imaging
- e.g. free-breathing, non-ECG cardiovascular imaging
- Multidimensional quantitative imaging and signal modeling
- Physics-informed deep learning image reconstruction
- Quantitative multi-parametric MRI for prostate cancer and placenta
- Machine learning / deep learning algorithms for detection and characterization of body cancer (prostate and liver), post-cancer treatment toxicity-induced cardiac dysfunction
- Neurochemistry, brain, breast, prostate, abdomen, cardiovascular, skeletal muscle
- Human breast cancer, obstructive sleep apnea, prostate cancer, type 1 and type diabetes, HIV and comorbidity
- Multi-dimensional MR spectroscopic imaging techniques, brain, breast and cardiac MRSI, biochemical and anatomical correlates of cancer
- Quantitative prostate MRI
- Quantitative liver MRI and MRE
- MRI-guided interventions and therapies
- Multi-dimensional qualitative and quantitative MRI for congenital heart disease
- Accelerated free-breathing MRI techniques for cardiovascular and body applications
- Tissue mechanics (strain imaging) and fluid mechanics (flow imaging) for cardiovascular diseases and other applications
