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  Model-based reconstruction for real-time phase-contrast flow MRI: Improved spatiotemporal accuracy.

Tan, Z., Roeloffs, V. B., Voit, D., Joseph, A. A., Untenberger, M., Merboldt, K. D., et al. (2017). Model-based reconstruction for real-time phase-contrast flow MRI: Improved spatiotemporal accuracy. Magnetic Resonance in Medicine, 77(3), 1082-1093. doi:10.1002/mrm.26192.

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 Creators:
Tan, Z.1, Author           
Roeloffs, V. B.1, Author           
Voit, D.1, Author           
Joseph, A. A.1, Author           
Untenberger, M.1, Author           
Merboldt, K. D.1, Author           
Frahm, J.1, Author           
Affiliations:
1Biomedical NMR Research GmbH, MPI for Biophysical Chemistry, Max Planck Society, ou_578634              

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Free keywords: nonlinear inverse reconstruction; model-based reconstruction; cardiovascular blood flow; phase-contrast flow MRI; radial MRI; real-time MRI
 Abstract: PURPOSE: To develop a model-based reconstruction technique for real-time phase-contrast flow MRI with improved spatiotemporal accuracy in comparison to methods using phase differences of two separately reconstructed images with differential flow encodings. METHODS: The proposed method jointly computes a common image, a phase-contrast map, and a set of coil sensitivities from every pair of flow-compensated and flow-encoded datasets obtained by highly undersampled radial FLASH. Real-time acquisitions with five and seven radial spokes per image resulted in 25.6 and 35.7 ms measuring time per phase-contrast map, respectively. The signal model for phase-contrast flow MRI requires the solution of a nonlinear inverse problem, which is accomplished by an iteratively regularized Gauss-Newton method. Aspects of regularization and scaling are discussed. The model-based reconstruction was validated for a numerical and experimental flow phantom and applied to real-time phase-contrast MRI of the human aorta for 10 healthy subjects and 2 patients. RESULTS: Under all conditions, and compared with a previously developed real-time flow MRI method, the proposed method yields quantitatively accurate phase-contrast maps (i.e., flow velocities) with improved spatial acuity, reduced phase noise and reduced streaking artifacts. CONCLUSION: This novel model-based reconstruction technique may become a new tool for clinical flow MRI in real time.

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Language(s): eng - English
 Dates: 2016-03-072017-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/mrm.26192
 Degree: -

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Title: Magnetic Resonance in Medicine
Source Genre: Journal
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Pages: - Volume / Issue: 77 (3) Sequence Number: - Start / End Page: 1082 - 1093 Identifier: -