Quantitative myocardial perfusion MRI ─ from sector-based to pixel-based analysis

GRAND Seminar March 06, 12PM, Tue., 2012, ENGR 4201

Li-Yueh Hsu
National Heart, Lung, and Blood Institute
NIH

Abstract:

Dynamic contrast-enhanced myocardial perfusion MRI has become an important tool for the diagnosis of coronary artery disease. Quantitative assessment of cardiac perfusion images using estimates of myocardial blood flow and myocardial perfusion reserve has shown promising results in several pre-clinical and clinical studies. This presentation will provide an overview of current sector-based analysis for quantifying first-pass contrast-enhanced cardiac MR images. A new approach for pixel-based myocardial blood flow quantification will also be presented. The results of high-resolution perfusion pixel maps from both animal and human studies will be presented and discussed. Technical challenges in fully automated pixel-wise quantification of cardiac perfusion MR images will then be addressed.

paper: A Quantitative Pixel-Wise Measurement of Myocardial Blood Flow by Contrast-Enhanced First-Pass CMR Perfusion Imaging by Hsu et al. JACC, VOL. 5, NO. 2, 2012

Short Bio:

Li-Yueh Hsu received his D.Sc. degree in Biomedical Engineering from the George Washington University. He is currently a staff scientist at the National Heart, Lung, and Blood Institute at the National Institutes of Health. His broad research interests are biomedical imaging and image analysis, computational modeling in biology and physiology, computer-aided detection, and diagnosis systems. His recent research has focused on the cardiovascular magnetic resonance imaging and quantitative analysis of myocardial perfusion and tissue characterization.