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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.
Tianming Du, HonggangZhang, YuemengLi, StephenPickup, MarkRosen, RongZhou, Hee KwonSong, Yong Fan: Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation Medical Image Analysis 72 : 2021.
Cao J, Song HK, Yang H, Castillo V, Chen J, Clendenin C, Rosen M, Zhou R, Pickup S: Respiratory Motion Mitigation and Repeatability of Two Diffusion-Weighted MRI Methods Applied to a Murine Model of Spontaneous Pancreatic Cancer Tomography 7 (1): 66-79,2021.
Zimmerman CE, Khandelwal P, Xie L, Lee H, Song HK, Yushkevich PA, Vossough A, Bartlett SP, Wehrli FW: Automatic Segmentation of Bone Selective MR Images for Visualization and Craniometry of the Cranial Vault Acad Radiol. 2021 Apr 23;. doi: 10.1016/j.acra.2021.03.010. [Epub ahead of print] : 2021.
Hyunyeol Lee, Xia Zhao, Hee Kwon Song, Scott P. Bartlett, Felix W. Wehrli: Self-Navigated Three-Dimensional Ultrashort Echo Time for Motion-Corrected Skull MRI IEEE Transactions in Medical Imaging 39 (9): 2869-2880,2020.
Xia Zhao, Hyunyeol Lee, Hee Kwon Song, C. C. Cheng, Felix W. Wehrli: Impact of gradient imperfections on bone water quantification with UTE MRI Magnetic Resonance in Medicine 84 (4): 2034-2047,2020.
Rosaline Zhang, Hyunyeol Lee, Xia Zhao, Hee Kwon Song, A. Vassough, Felix W. Wehrli, Scott P. Bartlett: Bone-Selective MRI as a Nonradiative Alternative to CT for Craniofacial Imaging Academic Radiology : 2020.
Hyunyeol Lee, Xia Zhao, Hee Kwon Song, Rosaline Zhang, Scott Bartlett, Felix W. Wehrli: Rapid Dual-RF, Dual-Echo, Three-Dimensional Ultrashort Echo Time Craniofacial Imaging: A Feasibility Study Magnetic Resonance in Medicine 81 (5): 3007-3016,2019.
Ziwu Zhou, Fei Han, Songlin Yu, Dandan Yu, Stanislas Rapacchi, Hee Kwon Song, Danny JJ Wang, Peng Hu, Lirong Yan: Accelerated non-contrast enhanced 4-dimensional intracranial MR angiography using golden-angle stack-of-stars trajectory and compressed sensing with magnitude subtraction Magnetic Resonance in Medicine 79 (2): 867-878,2018.
Wen Cao, Yulin V Chang, Erin K Englund, Hee Kwon Song, Suliman Barhoum, Zachary B Rodgers, Michael C Langham, Felix W Wehrli: High-Speed Whole-Brain Oximetry Via Golden-Angle Radial MRI Magnetic Resonance in Medicine 79 (1): 217-223,2018.
Xia Zhao, Hee Kwon Song, Felix W Wehrli: In vivo bone 31P relaxation times and their implications on mineral quantification Magnetic Resonance in Medicine : 2018.
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