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Abstract #0936

DiSpect: Displacement Spectrum Imaging of Flow, Diffusion and Tissue Perfusionusing Spin-Labeling and Stimulated Echoes

Zhiyong Zhang1, Ekin Karasan1, Karthik Gopalan1, Chunlei Liu1, and Michael Lustig1

1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States

We present a Fourier-encoding variant of Displacement Encoding with Stimulated Echoes (DENSE). DENSE encodes bulk displacement of spins but fails to capture partial volume displacement or flow. By performing multiple scans with increasing DENSE encoding, we are able to resolve the spectrum of displaced spins within a voxel and differentiate it from static tissue. Our approach opens the possibility of quantitatively measuring complex spin dynamics, such as motion, flow, diffusion and perfusion. We present results in a flow phantom and in-vivo brain. Our results demonstrate sensitivity to slow CSF flow, blood flow, and tissue perfusion.

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