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Abstract #2419

Pre-Excitation Gradients for Eddy Current Nulled Convex Optimized Diffusion Encoding (Pre-ENCODE)

Matthew J. Middione1, Michael Loecher1, Xiaozhi Cao1, Kawin Setsompop1,2, and Daniel B. Ennis1
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Diffusion Acquisition, Diffusion/other diffusion imaging techniques, eddy currents, image distortion, time-optimal

Motivation: Eddy current-induced image distortions in DWI require either tedious image-based corrections or time inefficient pulse sequence acquisitions that increase the minimum echo time (TEmin) and limit SNR.

Goal(s): Pre-excitation gradients for eddy current-nulled convex optimized diffusion encoding (Pre-ENCODE) was used to mitigate eddy current-induced image distortions without increasing TEmin.

Approach: Simulations, phantoms, and volunteer DWI with monopolar (MONO), eddy current-nulled convex optimized diffusion (ENCODE), and Pre-ENCODE were used to evaluate TEmin, eddy current-induced image distortions, and ADC.

Results: Pre-ENCODE offers shorter TEmin compared to MONO and ENCODE as well as reduced eddy current-induced image distortions and more accurate ADC values compared to MONO.

Impact: Pre-ENCODE reduces eddy current-induced image distortions by incorporating an additional pre-excitation gradient. Pre-ENCODE provides a shorter TEmin, increased SNR, improved image registration, and more accurate ADC quantification compared with conventional DWI encoding techniques.

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Keywords