PURPOSE: To evaluate a method to enable single-slice or multiple-slice cine phase contrast (cine-PC) acquisition during a single breath-hold using a highly sparsified radial acquisition ordering and temporally constrained image reconstruction with a spatially varying temporal constraint. MATERIALS AND METHODS: Simulated and in vivo cine-PC datasets of the proximal ascending aorta were obtained at different acceleration factors using a view projection acquisition order optimized for temporally constrained reconstruction (TCR). Reconstruction of the sparse cine-PC data performed with TCR was compared to reconstructions using zero-filled regridding and temporal interpolation. RESULTS: TCR resulted in more accurate velocity measurements than regridding or temporal interpolation. In one dataset, TCR of undersampled in vivo data (16 views per cardiac phase) resulted in a peak systolic velocity within 3.3% of the value measured by Doppler ultrasound while shortening the scan time to 13 seconds. High temporal-resolution undersampled TCR was also compared lower temporal-resolution, more highly sampled, regridding in three normal volunteers. CONCLUSION: TCR proved to be an effective method for reconstructing undersampled radial PC data. Although TCR utilizes a temporal constraint, temporal blurring was minimized by using appropriate constraint weights in addition to a spatially varying temporal constraint. TCR allowed for the acquisition time to be reduced to the duration of a breath-hold, while still resulting in accurate velocity measurements.
PURPOSE: To evaluate a method to enable single-slice or multiple-slice cine phase contrast (cine-PC) acquisition during a single breath-hold using a highly sparsified radial acquisition ordering and temporally constrained image reconstruction with a spatially varying temporal constraint. MATERIALS AND METHODS: Simulated and in vivo cine-PC datasets of the proximal ascending aorta were obtained at different acceleration factors using a view projection acquisition order optimized for temporally constrained reconstruction (TCR). Reconstruction of the sparse cine-PC data performed with TCR was compared to reconstructions using zero-filled regridding and temporal interpolation. RESULTS:TCR resulted in more accurate velocity measurements than regridding or temporal interpolation. In one dataset, TCR of undersampled in vivo data (16 views per cardiac phase) resulted in a peak systolic velocity within 3.3% of the value measured by Doppler ultrasound while shortening the scan time to 13 seconds. High temporal-resolution undersampled TCR was also compared lower temporal-resolution, more highly sampled, regridding in three normal volunteers. CONCLUSION:TCR proved to be an effective method for reconstructing undersampled radial PC data. Although TCR utilizes a temporal constraint, temporal blurring was minimized by using appropriate constraint weights in addition to a spatially varying temporal constraint. TCR allowed for the acquisition time to be reduced to the duration of a breath-hold, while still resulting in accurate velocity measurements.
Authors: Christof Baltes; Sebastian Kozerke; Michael S Hansen; Klaas P Pruessmann; Jeffrey Tsao; Peter Boesiger Journal: Magn Reson Med Date: 2005-12 Impact factor: 4.668
Authors: H Sakuma; L M Blake; T M Amidon; M O'Sullivan; D H Szolar; A P Furber; M A Bernstein; T K Foo; C B Higgins Journal: Radiology Date: 1996-03 Impact factor: 11.105
Authors: D N Firmin; G L Nayler; R H Klipstein; S R Underwood; R S Rees; D B Longmore Journal: J Comput Assist Tomogr Date: 1987 Sep-Oct Impact factor: 1.826
Authors: Thomas Benkert; Ye Tian; Chenchan Huang; Edward V R DiBella; Hersh Chandarana; Li Feng Journal: Magn Reson Med Date: 2017-11-28 Impact factor: 4.668
Authors: Krishna S Nayak; Jon-Fredrik Nielsen; Matt A Bernstein; Michael Markl; Peter D Gatehouse; Rene M Botnar; David Saloner; Christine Lorenz; Han Wen; Bob S Hu; Frederick H Epstein; John N Oshinski; Subha V Raman Journal: J Cardiovasc Magn Reson Date: 2015-08-09 Impact factor: 5.364