Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences


UC Berkeley


Research Projects

Robust Pediatric MRI

Michael Lustig, Shreyas Vasanawala1, Kurt Keutzer and Mark Murphy

National Institute of Health R01EB009690

Pediatric body MRI poses unique challenges of imaging small moving anatomic structures without patient cooperation, resulting in a need for anesthesia, long exam times, and lack of robustness. We will exploit synergies of high field strength, high density receive coils, new motion correction strategies, and novel imaging acceleration methods to dramatically improve image quality and speed. This work will ultimately enable more body MRI exams to be performed robustly without sedation or anesthesia, thus increasing MRI safety and availability and decreasing the dose of ionizing radiation from CT to a particularly vulnerable population.

Figure 1
Figure 1: Top: 12.5 fold accelerated blood-pool contrast-enhanced extremity MR angiogram in a 4 year old with a parallel imaging alone (ARC). 750 x 750 x 800 μm resolution. Bottom: L1-SPIRiT reconstruction recov- ers substantial detail, with quality rivaling a catheter an- giogram. The fast scan avoids venous contamination.

Figure 2
Figure 2: Submillimeter near-isotropic resolution MRI in an 8-year-old male. Post-contrast T1 imaging with an acceleration of 4. Standard (a, c) and compressed sensing reconstruction (b, d) show improved delineation of the pancreatic duct (vertical arrow), bowel (horizontal arrow), and gallbladder wall (arrowhead) with L1-SPIRiT reconstruction, and equivalent definition of the portal vein (black arrow)

Shreyas S Vasanawala, Marc T. Alley, Richard A. Barth, John M. Pauly and Michael Lustig, Improved Pediatric MR Imaging with Compressed Sensing, Radiology, 2010 Aug;256(2):607-16
Michael Lustig, David L Donoho and John M Pauly, Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging, Magnetic Resonance in Medicine, 2007 Dec.; 58(6):1182-1195.
Michael Lustig and John M. Pauly, SPIRiT: Iterative Self-consistent Parallel Imaging reconstruction from Arbitrary k-Space, Magnetic Resonance in Medicine, 2010 Aug;64(2):457-71

1Stanford University