Abstract #0728

Motion Compensated Diffusion-Weighted MRI in the Liver with Convex Optimized Diffusion Encoding (CODE)

Eric Aliotta^1,2, Holden H Wu^1,2, and Daniel B Ennis^1,2

¹Radiological Sciences, UCLA, Los Angeles, CA, United States, ²Biomedical Physics IDP, UCLA, Los Angeles, CA, United States

Bulk motion artifacts in liver DWI can be substantially reduced with first moment nulled diffusion encoding. However, the bipolar diffusion encoding gradient waveforms generally used for this purpose extend TE and limit SNR. We have developed a Convex Optimized Diffusion Encoding (CODE) framework to design time-optimal, motion compensated diffusion encoding gradients that remove sequence dead times and minimize TE. CODE gradients were designed and implemented for liver DWI on a 3.0T clinical scanner, then evaluated in healthy volunteers and patients. Bulk motion artifacts were significantly reduced and ADC maps were improved compared to conventional monopolar encoding.

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