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Abstract #0977

Motion-compensated diffusion imaging with phase-contrast (MC-DIP) for the quantification of regional cerebral blood flow

Naoki Ohno1, Tosiaki Miyati1, Genki Nambu1, Daichi Tanaka1, Yuki Makino1, Noam Alperin2, Yu Ueda3, Marc Van Cauteren3, Toshifumi Gabata1, and Satoshi Kobayashi1
1Kanazawa University, Kanazawa, Japan, 2University of Miami, Miami, FL, United States, 3Philips Japan, Tokyo, Japan

Synopsis

Keywords: Diffusion/other diffusion imaging techniques, Diffusion/other diffusion imaging techniquesDiffusion imaging with phase-contrast (DIP) can quantitatively evaluate regional cerebral blood flow (rCBF), in which total CBF (tCBF) from phase-contrast magnetic resonance imaging (PC-MRI) converts the brain’s perfusion-related diffusion parameters into rCBF values. However, it is sensitive to bulk motion (i.e., brain pulsation), potentially causing an overestimation of DIP-derived rCBF values. To overcome this issue, we propose a motion-compensated DIP (MC-DIP) that incorporates motion-compensated diffusion gradients. DIP with second-order motion-compensated diffusion gradients (2nd-MC-DIP) improved the fitting accuracy of the biexponential analysis and showed the ability to quantitatively evaluate rCBF in gray and white matter.

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Keywords