School of Medicine
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Associate Professor of Radiology (Pediatric Radiology)
Current Research and Scholarly InterestsUltrasonic beamforming, imaging methods, systems, and devices.
Postdoctoral Scholar, Radiological Sciences Laboratory
BioDr. Erpeng Dai mainly focuses on technique development for high-resolution and high-efficiency diffusion MRI (dMRI). Previously, he optimized the navigator acquisition for multi-shot interleaved EPI dMRI and further combined it with simultaneous multi-slice (SMS) for improved scan efficiency. Meanwhile, he also merged SMS and multi-slab techniques to achieve high-resolution isotropic imaging. Currently, Erpeng Dai is mainly working on developing high-fidelity and high-resolution dMRI, cortical dMRI and microstructure studies.
Professor of Radiology (General Radiology) and, by courtesy, of Pediatrics (Hematology/Oncology)
Current Research and Scholarly InterestsAs a physician-scientist involved in the care of pediatric patients and developing novel pediatric molecular imaging technologies, my goal is to link the fields of nanotechnology and medical imaging towards more efficient diagnoses and image-guided therapies. Our research team develops novel imaging techniques for improved cancer diagnosis, for image-guided-drug delivery and for in vivo monitoring of cell therapies in children and young adults.
Affiliate, Dean's Office Operations - Dean Other
Resident in Radiology
BioBrian Dang grew up in Rosemead, California. He attended college at the University of California, Irvine, where he majored in Biological Sciences. Brian received his MD degree from Saint Louis University School of Medicine.
Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering
Current Research and Scholarly Interests1. MRI of Breast Cancer, particularly new techniques. Currently being explored are techniques including ultra high spatial resolution MRI and contrast-agent-free detection of breast tumors.
2. MRI-guided interventions, especially MRI-compatible remote manipulation and haptics
3. Medical Mixed Reality. Currently being explored are methods of fusing patients and their images to potentially improve breast conserving surgery, and other conditions.