David C. Zhu, Ph.D.
I have over 14 years of magnetic resonance imaging (MRI) research experience, especially in MRI physics and engineering. I developed my expertise in MRI during my graduate research and subsequent work at GE Healthcare. During my graduate research, I developed high-resolution echo planar imaging, arterial spin labeling and phase contrast pulse sequences, and associated analytical techniques for clinical applications.
At GE Healthcare, I worked on various MR methodology developments, including fast spin echo imaging and fast volumetric imaging. I also participated in the development of the new EXCITE MR system. While I was a research faculty member at the University of Chicago, I continued my research in MR imaging techniques, specifically, spiral imaging for functional MRI (fMRI) applications, T1 mapping of the brain and the quantification of cerebrospinal fluid dynamics for the study of hydrocephalus. I also expanded my interest to fMRI applications.
I joined the faculty at Michigan State University in 2005. With other faculty members, we developed the Cognitive Imaging Research Center, and I have been supporting its growth in a role of an MRI physicist. I am also an MRI physicist for the Departments of Psychology and Radiology. I am currently collaborating with clinical experts to develop MRI techniques to detect and characterize plaques at the carotid artery, with chemists on MR molecular imaging, and with psychologists and neuroscientists to apply fMRI and other neuroimaging methods to study visual cognition, attention, memory, language processing, social cognition, normal aging and Alzheimer's disease.
Current Imaging Research Focuses
1) MR imaging technique development.
3) Carotid plaque imaging (Collaborator: Dr. Kevin DeMarco )
4) MR molecular imaging (Collaborator: Dr. Xuefei Huang )
5) Brain MRI of speech production in normally fluent and stuttering speakers, especially children (Collaborator: Dr. Soo-Eun Chang )
David C. Zhu, J. Kevin DeMarco, Anthony T. Vu. Apparatus and method for detecting and classifying atherosclerotic plaque hemorrhage. US Patent # 7,705,593. Date of award: April 27, 2010.