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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