3D Cartesian MRI with compressed sensing and variable view sharing using complementary poisson-disc sampling

Magn Reson Med. 2017 May;77(5):1774-1785. doi: 10.1002/mrm.26254. Epub 2016 Apr 21.

Abstract

Purpose: To enable robust, high spatio-temporal-resolution three-dimensional Cartesian MRI using a scheme incorporating a novel variable density random k-space sampling trajectory allowing flexible and retrospective selection of the temporal footprint with compressed sensing (CS).

Methods: A complementary Poisson-disc k-space sampling trajectory was designed to allow view sharing and varying combinations of reduced view sharing with CS from the same prospective acquisition. These schemes were used for two-point Dixon-based dynamic contrast-enhanced MRI (DCE-MRI) of the breast and abdomen. Results were validated in vivo with a novel approach using variable-flip-angle data, which was retrospectively accelerated using the same methods but offered a ground truth.

Results: In breast DCE-MRI, the temporal footprint could be reduced 2.3-fold retrospectively without introducing noticeable artifacts, improving depiction of rapidly enhancing lesions. Further, experiments with variable-flip-angle data showed that reducing view sharing improved accuracy in reconstruction and T1 mapping. In abdominal MRI, 2.3-fold and 3.6-fold reductions in temporal footprint allowed reduced motion artifacts.

Conclusion: The complementary-Poisson-disc k-space sampling trajectory allowed a retrospective spatiotemporal resolution tradeoff using CS and view sharing, imparting robustness to motion and contrast enhancement. The technique was also validated using a novel approach of fully acquired variable-flip-angle acquisition. Magn Reson Med 77:1774-1785, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Keywords: compressed sensing; dynamic contrast-enhanced MRI; view sharing.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Artifacts
  • Breast / diagnostic imaging*
  • Breast Neoplasms / diagnostic imaging
  • Contrast Media
  • Data Compression / methods
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted / methods
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional / methods*
  • Liver / diagnostic imaging
  • Magnetic Resonance Imaging / methods*
  • Motion
  • Poisson Distribution
  • Prospective Studies
  • Retrospective Studies

Substances

  • Contrast Media