Real-time free-breathing cardiac imaging with self-calibrated through-time radial GRAPPA

Magn Reson Med. 2017 Jan;77(1):250-264. doi: 10.1002/mrm.26112. Epub 2016 Mar 10.

Abstract

Purpose: Real-time free-breathing cardiac imaging with highly undersampled radial trajectories has previously been successfully demonstrated using calibrated radial generalized autocalibrating partially parallel acquisition (rGRAPPA). A self-calibrated approach for rGRAPPA is proposed that removes the need for the calibration prescan.

Methods: To investigate the effect of various parameters on image quality, a comprehensive imaging study on one normal swine was performed. Root mean squared errors (RMSEs) were computed with respect to gold standard acquisitions, and several acquisition/reconstruction strategies were compared. Additionally, the method was tested on 13 human subjects, and RMSEs relative to standard through-time radial GRAPPA were computed.

Results: Real-time images with high spatiotemporal resolution were obtained. Image quality was comparable to calibrated through-time rGRAPPA with endocardial and epicardial borders clearly delineated. In the swine, the average RMSE between self-calibrated and gold-standard calibrated images was 5.18 ± 0.84%. In normal human subjects, the average RMSE between self-calibrated and calibrated through-time rGRAPPA was 3.79 ± 0.64%. For lower accelerations rates (R = 6-8) image quality was similar to comparable calibrated scans though RMSE increased for higher degrees of undersampling (R = 12-16).

Conclusion: Highly accelerated real-time imaging with undersampled radial trajectories without additional calibration data is feasible. Image quality was acceptable for real-time cardiac MRI applications demanding high speed. Magn Reson Med 77:250-264, 2017. © 2016 Wiley Periodicals, Inc.

Keywords: cardiac magnetic resonance imaging; non-Cartesian GRAPPA; parallel imaging; real-time imaging; self-calibration.

MeSH terms

  • Algorithms
  • Animals
  • Calibration
  • Cardiac Imaging Techniques / methods*
  • Heart / diagnostic imaging
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Magnetic Resonance Imaging, Cine / methods*
  • Respiration*
  • Swine