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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