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Abstract #4351

Simultaneous Correction of Motion-Induced Artifacts and Diffusion-Encoding Corruption in Multishot Diffusion Tensor EPI

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

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

Multishot diffusion tensor EPI offers several advantages over singleshot acquisitions, including improved spatial resolution and reduced geometric distortions. However, it also has increased sensitivity to patient motion. While phase errors and pixel misregistrations among shots are commonly addressed in correction schemes, the altered diffusion-encoding of each shot due to motion is often neglected. We therefore present a new reconstruction technique to correct 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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