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Abstract #2934

Motion immune diffusion imaging using augmented MUSE (AMUSE) for high-resolution multi-shot EPI

Shayan Guhaniyogi 1 , Mei-Lan Chu 1 , Hing-Chiu Chang 1 , Allen Song 1 , and Nan-Kuei Chen 1

1 Brain Imaging and Analysis Center, Duke University, Durham, NC, United States

Despite the advantages of multishot EPI over singleshot acquisitions in diffusion tensor imaging, its primary drawback is increased sensitivity to patient motion. While phase errors and pixel misregistrations among shots are commonly addressed in multishot motion correction schemes, the altered diffusion-encoding of each shot due to motion is often neglected. We therefore present a reconstruction technique which corrects all three motion-induced errors in multishot diffusion EPI. The technique is shown to improve both image quality and tensor calculations, and is expected to be valuable for clinical and neuroscience applications requiring accurate high resolution diffusion tensor information.

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