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 (TPMSG ) was compared with a prospectively triggered radial TPM acquisition with conventional respiratory (RNAV) compensation (TPMref ). 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 TPMSG was superior to TPMref , 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 TPMSG . For λ=0.2, image sharpness as well as velocity peaks of TPMSG were comparable to TPMRef . 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.
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 (TPMSG ) was compared with a prospectively triggered radial TPM acquisition with conventional respiratory (RNAV) compensation (TPMref ). 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 TPMSG was superior to TPMref , 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 TPMSG . For λ=0.2, image sharpness as well as velocity peaks of TPMSG were comparable to TPMRef . 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.
Authors: Alexander Ruh; Roberto Sarnari; Haben Berhane; Kenny Sidoryk; Kai Lin; Ryan Dolan; Arleen Li; Michael J Rose; Joshua D Robinson; James C Carr; Cynthia K Rigsby; Michael Markl Journal: Int J Cardiovasc Imaging Date: 2019-02-04 Impact factor: 2.357
Authors: Francisco Contijoch; Srikant Kamesh Iyer; James J Pilla; Paul Yushkevich; Joseph H Gorman; Robert C Gorman; Harold Litt; Yuchi Han; Walter R T Witschey Journal: Magn Reson Med Date: 2016-08-31 Impact factor: 4.668
Authors: Gary McGinley; Bård A Bendiksen; Lili Zhang; Jan Magnus Aronsen; Einar Sjaastad Nordén; Ivar Sjaastad; Emil K S Espe Journal: PLoS One Date: 2019-07-05 Impact factor: 3.240
Authors: Alexander Fyrdahl; Joao G Ramos; Maria J Eriksson; Kenneth Caidahl; Martin Ugander; Andreas Sigfridsson Journal: Magn Reson Med Date: 2019-10-21 Impact factor: 4.668