Dr. Song is a biomedical engineer with a strong background in MRI physics and expertise in various areas of MRI engineering. Dr. Song has extensive experience in developing novel dynamic imaging strategies in MRI. For over a decade, his research has focused on the development of dynamic contrast-enhanced (DCE-) MRI strategies based on novel radial data acquisition and reconstruction methods that allow ultra-rapid dynamic imaging at both high spatial and high temporal resolutions. Utilizing the golden angle radial acquisition strategy, Dr. Song also developed and implemented effective strategies to retrospectively compensate for respiratory motion in DCE-MRI. The technique also permits the reconstruction of the dynamic series to be highly flexible, allowing many of the decisions regarding spatial/temporal resolution to be made retrospectively and optimally. These strategies are currently being utilized for the assessment of treatment effects in various tumors, including lung, liver, breast, kidney and ovarian/fallopian tube. The methods he has developed have also been utilized in other areas of research, including rapid non-contrast enhanced dynamic MRA and fast tissue T1 mapping. Dr. Song collaborates with clinicians in various departments within Penn’s School of Medicine and other institutions, including the Departments of Medicine, Obstetrics and Gynecology, Neurology, and Radiation Oncology. The scope of training under Dr. Song’s guidance includes understanding the various tumor perfusion models, MRI physics, MRI pulse sequence programming and image post-processing.