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Kawin Setsompop

Researcher at Stanford University

Publications -  241
Citations -  10341

Kawin Setsompop is an academic researcher from Stanford University. The author has contributed to research in topics: Iterative reconstruction & Diffusion MRI. The author has an hindex of 49, co-authored 223 publications receiving 8059 citations. Previous affiliations of Kawin Setsompop include Siemens & Harvard University.

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Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty.

TL;DR: In this paper, the authors introduce a method to create interslice image shifts in the phase encoding direction to increase the distance between aliasing pixels, induced using sign-and amplitude-modulated slice-select gradient blips simultaneous with the EPI phase encoding blips.
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Pushing the limits of in vivo diffusion MRI for the Human Connectome Project

TL;DR: The Human Connectome Project is to address limiting factors by re-engineering the scanner from the ground up to optimize the high b-value, high angular resolution diffusion imaging needed for sensitive and accurate mapping of the brain's structural connections by implementing a novel 4-port drive geometry and optimizing size and linearity for the brain.
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Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep

TL;DR: A coherent pattern of oscillating electrophysiological, hemodynamic, and CSF dynamics that appears during non–rapid eye movement sleep is discovered, demonstrating that the sleeping brain exhibits waves of CSF flow on a macroscopic scale, and theseCSF dynamics are interlinked with neural and hemodynamic rhythms.
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Ultra-fast MRI of the human brain with simultaneous multi-slice imaging.

TL;DR: This parallel imaging technique began over a decade ago and through recent sequence improvements has reduced the acquisition time of multi-slice EPI by over ten fold.
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Improving diffusion MRI using simultaneous multi-slice echo planar imaging.

TL;DR: It is shown that data acquisition times for Q-ball and diffusion spectrum imaging (DSI) can be reduced 3-fold with a minor loss in SNR and with similar diffusion results compared to conventional acquisitions.