MR Imaging Research
Hyunki Kim, PhD, Assistant Professor of Radiology and Biomedical Engineering, is the Manager of MR Imaging and coordinates all animal studies related to MRI/MRS. Dr. Kim is also co-Director of the CCC small animal imaging shared facility. Dr. Kim has been cross-trained in all modalities, including bioluminescence, fluorescence, gamma camera imaging, SPECT, SPECT/CT, and microPET/CT. His expertise includes imaging data analyses, especially for the microSPECT, microPET, and CT studies, as well as MR studies. Dr. Kim is actively collaborating with Dr. Desiree Morgan in the Radiology and the Human Imaging Shared Facility, which conducts parallel research in humans. This excellent working relationship will provide an excellent mechanism for translation of preclinical imaging studies to clinical studies. Dr. Kim research includes developing novel therapies for breast and cancer therapies, as well as imaging biomarkers that can measure effective response at an early interval after initiation of treatment.
Guihua Zhai, PhD is a Research Associate. Dr. Zhai received her doctoral degree in Biomedical Engineering from the University of North Carolina (Chapel Hill) in 2006, and completed a Post-doctoral fellowship at the University of Chicago Brain Research Imaging Center in 2009. Dr. Zhai has experience with in vivo MRI and MRS imaging experience in small animals. She assists Dr. Kim with all MR imaging, including high-field multi-nuclei MRS and complex dynamic flow MRI measurements on the 9.4T system.
Georg Deutsch, PhD is Director of the Neuroimaging Resource Core, a resource that is intramurally funded by the UAB HSF-GEF. He is involved in multidisciplinary approaches to study brain function in general and the use of advanced neuroimaging methods to study normal and abnormal brain states, including the effects of aging, stroke and dementia. He has championed the use of quantitative techniques of cerebral blood flow measurement as one method to learn about cerebral organization and attempted to integrate such studies with physiological information provided by MEG and PET. As the Director of the neuroimaging resource core, he has emphasized development of non-invasive but quantitative MRI measures of rCBF using arterial spin labeling, combined with physiological stress tests that can identify vascular versus parenchymal disease. These techniques have also been applied to the study of pain and recently produced data showing great promise as potential imaging biomarkers of pain tolerance. His lab has also created normal databases for improved and rigorous analysis of both rCBF and glucose metabolism in the clinical neuroradiological setting.