Rapid and Robust MRI Using Non-Cartesian Sampling - A Signal Processing Perspective
Oct 14, 2013
from 01:00 PM to 02:00 PM
|Where||Engr. IV Bldg., Shannon Room 54-134|
|Contact Name||Professor Jason Woo|
|Add event to calendar||
Asst. Prof. Holden Wu,
UCLA Dept. of Radiological Sciences
Magnetic resonance imaging (MRI) has the extraordinary capability of obtaining anatomic, functional, and metabolic information non-invasively and without ionizing radiation. As a result, MRI has already become the preferred imaging modality in a considerable range of clinical applications, including neurological imaging and functional cardiac imaging, and is rapidly gaining recognition in a wide array of new areas. However, there exists a fundamental trade-off between MRI contrast, signal-to-noise ratio (SNR), spatial resolution, and scan time. Therefore, current MRI research continues to strive for rapid and robust techniques that can balance these competing objectives.
At its core, MRI is based on the physical phenomenon of nuclear magnetic resonance, and relies heavily on Fourier analysis, sampling theory, optimization, and other engineering principles for realization. In this talk, I will first give a brief introduction to MRI with an emphasis on its signal processing foundations, and then introduce new approaches for rapid and robust MRI based on non-Cartesian data sampling. Compared to conventional rectilinear Cartesian sampling, non-Cartesian methods can reduce scan time, enhance image contrast, and provide greater robustness to physiologic motion. To illustrate these advantages, I will talk in detail about specific non-Cartesian MRI techniques for improving neurological and cardiac imaging.
Dr. Wu completed his Ph.D. in Electrical Engineering at Stanford University in 2009. His graduate work focused on developing efficient MRI techniques based on non-Cartesian sampling for high-contrast brain imaging, fat-water-separated musculoskeletal imaging, non-contrast-enhanced angiography, and other applications. Following his Ph.D., Dr. Wu joined the division of Cardiovascular Medicine at Stanford University for postdoctoral training. During this period, he worked on rapid and robust non-Cartesian MRI sequences for free-breathing whole-heart coronary angiography, 3D cardiac cine imaging, multi-dimensional cardiac imaging, fat-water-separated cardiac imaging, and real-time imaging. Dr. Wu recently joined the faculty of UCLA Radiology, and is interested in rapid MRI, quantitative MRI, and MRI-guided therapy for cardiovascular diseases and cancer.