- Oral presentation
- Open Access
Radial simultaneous multi slice imaging for rapid cardiac imaging
© Adluru et al. 2016
- Published: 27 January 2016
- Late Gadolinium Enhancement
- Flip Angle
- Late Gadolinium Enhancement Imaging
- Saturation Recovery
- Cardiac Perfusion
It may be possible to more rapidly acquire cine, cardiac perfusion, and Late Gadolinium Enhancement (LGE) images for "free" with Simultaneous Multi-Slice (SMS) methods. With SMS imaging, multiple slices are simultaneously excited and acquired. Here we explore the application of an undersampled radial SMS approach termed Controlled Aliasing In Parallel Imaging results in higher acceleration (CAIPI)  combined with an iterative constrained reconstruction method  for rapid comprehensive cardiac imaging.
Radial CAIPI data with golden ratio angular spacing  was acquired for cardiac perfusion and LGE imaging using a 32 channel cardiac coil on a Siemens 3T Verio scanner. ECG gated cardiac perfusion imaging at rest was performed using a saturation recovery sequence with TR = 2.6 msec, TE = 1.5 msec, matrix size = 128 × 30, field-of-view = 300 mm2, saturation recovery time = 70 msec, flip angle = 12°, slice acceleration/CAIPI factor = 3, slice thickness = 5 mm, spacing between slices = 6 mm. LGE images were acquired using an inversion recovery sequence and TR = 2.5 msec, TE = 1.4 msec, inversion recovery time = 350 msec, flip angle = 12°, slice acceleration factor=2, slice thickness = 8 mm, spacing between slices = 9.6 mm. Thirty rays were acquired every other heart beat in the diastolic cardiac phase until a total of 90 rays were acquired. Radial cardiac cine data without CAIPI was acquired with a temporal resolution of 43.55 msec, TE = 1.7 msec, flip angle = 50, field-of-view = 220 mm2, slice thickness = 5 mm, spacing between slices = 42 mm, matrix size = 128 × 30. CAIPI data with a slice acceleration factor = 2 was simulated using the acquired radial cine data.
Undersampled radial CAIPI data was reconstructed using an iterative spatio-temporal constrained reconstruction (STCR) framework in which data fidelity to the acquired CAIPI data was preserved while applying temporal Total Variation (TV) and spatial TV constraints on individual slices separately . After coil compression , the coil sensitivities for the constrained reconstruction were computed using the CAIPI data by combining 250 rays after corresponding phase demodulation for each slice.
Simultaneously exciting multiple slices and using radial in-plane undersampling with constrained reconstruction techniques allows for significant speedups of 2D cine, perfusion, and LGE imaging.
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