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February 2012

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Subject:
From:
Jyh-Ming Lien <[log in to unmask]>
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Date:
Wed, 29 Feb 2012 11:37:52 -0500
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[Apologies for multiple postings]

**************************************************
*
*
*    GRAND Seminar
*
*    http://cs.gmu.edu/~robotics/Main/GrandSeminar
*
*
**************************************************


*Title*

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


*Time/Venue*

CS conference room, ENGR 4201
Noon, March 6, Tue.

*Speaker*

Li-Yueh Hsu
National Heart, Lung, and Blood Institute
National Institutes of Health

*Host*

Jyh-Ming Lien

*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.

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.

-- 
*Jyh-Ming Lien*
Assistant Professor, George Mason University
+1-703-993-9546
http://cs.gmu.edu/~jmlien

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