Volume 74, Issue 4 pp. 964-970
Full paper

Spatiotemporal phase unwrapping for real-time phase-contrast flow MRI

Markus Untenberger

Corresponding Author

Markus Untenberger

Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany

Correspondence to: Markus Untenberger, Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, 37070 Göttingen, Germany. E-mail: [email protected]Search for more papers by this author
Markus Hüllebrand

Markus Hüllebrand

Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany

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Lennart Tautz

Lennart Tautz

Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany

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Arun A. Joseph

Arun A. Joseph

Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany

German Center for Cardiovascular Research (DZHK), Göttingen, Germany

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Dirk Voit

Dirk Voit

Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany

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K. Dietmar Merboldt

K. Dietmar Merboldt

Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany

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Jens Frahm

Jens Frahm

Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany

German Center for Cardiovascular Research (DZHK), Göttingen, Germany

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First published: 10 October 2014
Citations: 15

Abstract

Purpose

To develop and evaluate a practical phase unwrapping method for real-time phase-contrast flow MRI using temporal and spatial continuity.

Methods

Real-time phase-contrast MRI of through-plane flow was performed using highly undersampled radial FLASH with phase-sensitive reconstructions by regularized nonlinear inversion. Experiments involved flow in a phantom and the human aorta (10 healthy subjects) with and without phase wrapping for velocity encodings of 100 cm·s−1 and 200 cm·s−1. Phase unwrapping was performed for each individual cardiac cycle and restricted to a region of interest automatically propagated to all time frames. The algorithm exploited temporal continuity in forward and backward direction for all pixels with a “continuous” representation of blood throughout the entire cardiac cycle (inner vessel lumen). Phase inconsistencies were corrected by a comparison with values from direct spatial neighbors. The latter approach was also applied to pixels exhibiting a discontinuous signal intensity time course due to movement-induced spatial displacements (peripheral vessel zone).

Results

Phantom and human flow MRI data were successfully unwrapped. When halving the velocity encoding, the velocity-to-noise ratio (VNR) increased by a factor of two.

Conclusion

The proposed phase unwrapping method for real-time flow MRI allows for measurements with reduced velocity encoding and increased VNR. Magn Reson Med 74:964–970, 2015. © 2014 Wiley Periodicals, Inc.

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