Pietro Nardelli, PhD Instructor in Radiology Brigham and Women’s Hospital…
Susie Y. Huang, MD, PhD: Characterizing Tissue Microstructure in the Living Human Brain Using High-Gradient Diffusion MRI
Susie Huang, MD, PhD
Associate Professor, HMS
Radiologist, MGH
Abstract
Less is known about the structure-function relationship in the human brain than in any other organ system. The challenge of studying brain structure is that brain networks span multiple spatial scales, from individual neurons all the way to whole-brain systems. Diffusion magnetic resonance imaging holds great promise among noninvasive imaging methods for probing cellular structure of any depth and location in the living human brain. Robust methods for in vivo mapping of tissue microstructure by diffusion MRI remain elusive due to the demand for fast and strong diffusion-encoding gradients. As part of the NIH BRAIN Initiative funded Connectome 2.0 project, I will present an overview of our group’s efforts to advance next-generation MRI hardware, biophysical modeling, and validation of microstructural metrics derived from diffusion MRI to probe the structure of the human brain across multiple scales. I will review current progress and applications of these methods to study axonal microstructure in the normal and aging human brain and assess axonal damage in multiple sclerosis.
Short Bio
Susie Y. Huang received a PhD in physical chemistry from the University of California, Los Angeles, and an MD from Harvard Medical School. She has published numerous research articles on the development, translation, and evaluation of novel magnetic resonance imaging techniques for neuroimaging research and clinical applications. Her current research focuses on the development and translation of advanced diffusion MRI methods for probing tissue microstructure in the central nervous system. Dr. Huang serves as the lead principal investigator of an NIH BRAIN initiative multi-institutional collaborative grant to develop the next-generation Connectome MRI scanner for multiscale imaging of the human brain.