Computational and Applied Math Proseminar

Tuesday, February 24, 12:00 p.m. ECG 317

Edward G. Walsh

Dept of Neuroscience and Inst for Brain Science
Brown University

Rapid Parametric Imaging Using a PARSE Technique

Abstract
Functional magnetic resonance imaging (fMRI) is a powerful tool for the assessment of brain function and functional connectivity. Such methods rely on single-shot image acquisition methods to provide for adequate temporal resolution and spatial coverage. Difficulties are encountered with such methods owing to physical inaccuracies in the assumptions underlying conventional MR image reconstruction methodology. Consequences include signal voids and geometric distortion in brain regions that experience large susceptibility gradients.

The SS-PARSE (Single Shot Parameter Assessment by Retrieval from Signal Encoding) technique addresses these problems by acknowledging the evolution in time of the MR signal for reasons other than spatial encoding, and uses a nonlinear optimization process to produce parametric maps of magnetization, signal decay rate, and frequency. By incorporating frequency as an optimized parameter, geometric distortion is essentially eliminated. This presentation will cover the reconstruction process, the signal acquisition process implemented specifically for this technique, and the first human functional scan results.

For further information please contact: mittelmann@asu.edu