University of California

Eric Aliotta

Daniel Ennis

Holden H Wu

Kevin Moulin

A system and method for optimized diffusion-weighted imaging is provided. In one aspect, the method includes providing a plurality of constraints comprising an eddy current constraint for imaging a target at a selected diffusion weighting, and applying an optimization framework to generate an optimized diffusion encoding gradient waveform satisfying the plurality of constraints. The method also includes performing, using the MRI system, a pulse sequence comprising the optimized diffusion encoding gradient waveform to generate diffusion-weighted data, and generating at least one image of the target using the diffusion-weighted data.

System and method for improved diffusion-weighted imaging

A system and method for optimized diffusion-weighted imaging is provided. In one aspect, the method includes providing a plurality of constraints for imaging a target at a selected diffusion weighting, and applying an optimization framework to generate an optimized diffusion encoding gradient waveform satisfying the plurality of constraints. The method also includes performing, using the MRI system, a pulse sequence comprising the optimized diffusion encoding gradient waveform to generate diffusion-weighted data, and generating at least one image of the target using the diffusion-weighted data.

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Los Angeles, CA, United States of America

Eric Aliotta