Imaging Methodology - Full Papers

Sparse-CAPR: Highly accelerated 4D CE-MRA with parallel imaging and nonconvex compressive sensing

  1. Joshua D. Trzasko1,
  2. Clifton R. Haider1,
  3. Eric A. Borisch2,
  4. Norbert G. Campeau2,
  5. James F. Glockner2,
  6. Stephen J. Riederer2,
  7. Armando Manduca1,2,*

Article first published online: 23 MAY 2011

DOI: 10.1002/mrm.22892

Issue

Magnetic Resonance in Medicine

Magnetic Resonance in Medicine

Volume 66, Issue 4, pages 1019–1032, October 2011

Additional Information

How to Cite

Trzasko, J. D., Haider, C. R., Borisch, E. A., Campeau, N. G., Glockner, J. F., Riederer, S. J. and Manduca, A. (2011), Sparse-CAPR: Highly accelerated 4D CE-MRA with parallel imaging and nonconvex compressive sensing. Magn. Reson. Med., 66: 1019–1032. doi: 10.1002/mrm.22892

Author Information

  1. 1

    Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA

  2. 2

    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

*Mayo Clinic (Opus 2-101), 200 First Street SW, Rochester, MN 55905

Publication History

  1. Issue published online: 15 SEP 2011
  2. Article first published online: 23 MAY 2011
  3. Manuscript Accepted: 31 JAN 2011
  4. Manuscript Revised: 10 DEC 2010
  5. Manuscript Received: 21 SEP 2010

Funded by

  • NIH. Grant Numbers: EB000212, RR018898

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Keywords:

  • CAPR;
  • angiography;
  • compressed sensing;
  • compressive sensing;
  • image reconstruction

Abstract

Cartesian Acquisition with Projection-Reconstruction-like sampling is a SENSE-type parallel 3DFT acquisition paradigm for 4D contrast-enhanced magnetic resonance angiography that has been demonstrated capable of providing high spatial and temporal resolution, diagnostic-quality images at very high acceleration rates. However, Cartesian Acquisition with Projection–Reconstruction-like sampling images are typically reconstructed online using Tikhonov regularization and partial Fourier methods, which are prone to exhibit noise amplification and undersampling artifacts when operating at very high acceleration rates. In this work, a sparsity-driven offline reconstruction framework for Cartesian Acquisition with Projection-Reconstruction-like sampling is developed and demonstrated to consistently provide improvements over the currently-employed reconstruction strategy against these ill-effects. Moreover, the proposed reconstruction strategy requires no changes to the existing Cartesian Acquisition with Projection–Reconstruction-like sampling acquisition protocol, and an efficient numerical optimization and hardware system are described that allow for a 256 × 160 × 80 volume contrast-enhanced magnetic resonance angiography volume to be reconstructed from an eight-channel data set in less than 2 min. Magn Reson Med, 2011. © 2011 Wiley-Liss, Inc.

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