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Self‐gated tissue phase mapping using golden angle radial sparse SENSE
Author(s) -
Paul Jan,
Wundrak Stefan,
Bernhardt Peter,
Rottbauer Wolfgang,
Neumann Heiko,
Rasche Volker
Publication year - 2016
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.25669
Subject(s) - gating , image quality , radial velocity , regularization (linguistics) , artificial intelligence , optics , mathematics , physics , computer science , computer vision , image (mathematics) , medicine , physiology , stars
Purpose To investigate the combination of Golden Angle Radial Sparse SENSE reconstruction with image‐based self‐gating (SG) for deriving high‐quality TPM data from radial golden angle (GA) k‐space data. Methods In 10 healthy volunteers, a self‐gated radial GA TPM sequence (TPM SG ) was compared with a prospectively triggered radial TPM acquisition with conventional respiratory (RNAV) compensation (TPM ref ). Image quality and velocities were compared for different regularization strengths λ in the CS reconstruction. Results Acquisitions and retrospective self‐gating was successful in all cases. Contrast in TPM SG was superior to TPM ref , because the blood saturation bands could be applied with full thickness without interference with the RNAV. Velocities from both acquisitions visually showed the same motion patterns and were quantitatively highly similar (correlation 0.81–0.97 and RMSE 0.08–0.21 cm/s). Strong temporal regularization ( λ ∈ 0.3,0.4 ) led to reduced velocity peaks in TPM SG . For λ = 0.2 , image sharpness as well as velocity peaks of TPM SG were comparable to TPM Ref . Conclusion The combination of Golden Angle Radial Sparse SENSE with image‐based self‐gating allows measurement of velocities of the myocardium with superior black‐blood contrast and full coverage of the cardiac cycle. Magn Reson Med 75:789–800, 2016. © 2015 Wiley Periodicals, Inc.