Volume 86, Issue 5 pp. 2468-2481
FULL PAPER

DiSpect: Displacement spectrum imaging of flow and tissue perfusion using spin-labeling and stimulated echoes

Zhiyong Zhang

Corresponding Author

Zhiyong Zhang

School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA

Correspondence

Zhiyong Zhang, School of Biomedical Engineering, Shanghai Jiao Tong University, 1945 Huashan Road, Shanghai 200030, China.

Email: [email protected]

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Ekin Karasan

Ekin Karasan

Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA

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Karthik Gopalan

Karthik Gopalan

Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA

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Chunlei Liu

Chunlei Liu

Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA

Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California, USA

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Michael Lustig

Michael Lustig

Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California, USA

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First published: 06 June 2021
Citations: 2

Funding information

National Institutes of Health (R01EB009690, U01EB025162, R01EB026136, and R01HL13696)

Abstract

Purpose

We propose a new method, displacement spectrum (DiSpect) imaging, for probing in vivo complex tissue dynamics such as motion, flow, diffusion, and perfusion. Based on stimulated echoes and image phase, our flexible approach enables observations of the spin dynamics over short (milliseconds) to long (seconds) evolution times.

Methods

The DiSpect method is a Fourier-encoded variant of displacement encoding with stimulated echoes, which encodes bulk displacement of spins that occurs between tagging and imaging in the image phase. However, this method fails to capture partial volume effects as well as blood flow. The DiSpect variant mitigates this by performing multiple scans with increasing displacement-encoding steps. Fourier analysis can then resolve the multidimensional spectrum of displacements that spins exhibit over the mixing time. In addition, repeated imaging following tagging can capture dynamic displacement spectra with increasing mixing times.

Results

We demonstrate properties of DiSpect MRI using flow phantom experiments as well as in vivo brain scans. Specifically, the ability of DiSpect to perform retrospective vessel-selective perfusion imaging at multiple mixing times is highlighted.

Conclusion

The DiSpect variant is a new tool in the arsenal of MRI techniques for probing complex tissue dynamics. The flexibility and the rich information it provides open the possibility of alternative ways to quantitatively measure numerous complex spin dynamics, such as flow and perfusion within a single exam.

DATA AVAILABILITY STATEMENT

In the spirit of reproducible research, we provide a link (https://github.com/mikgroup/DiSpectMRI) to the code and data necessary to reproduce most of the results in this manuscript.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.