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

Evan Levine1, Bruce Daniel1, Shreyas Vasanawala1

  • 1Lucas Center, Departments of Electrical Engineering and Radiology, Stanford University, Stanford, California, USA.

Magnetic Resonance in Medicine
|April 22, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new MRI k-space sampling method for high-resolution 3D imaging. The technique allows flexible temporal resolution adjustments, improving image quality and reducing artifacts in dynamic contrast-enhanced MRI scans.

Keywords:
compressed sensingdynamic contrast-enhanced MRIview sharing

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Physics

Background:

  • Dynamic contrast-enhanced MRI (DCE-MRI) requires high spatio-temporal resolution for accurate assessment.
  • Achieving high resolution in DCE-MRI is challenging due to acquisition time constraints and motion artifacts.

Purpose of the Study:

  • To develop a novel variable density random k-space sampling trajectory for robust, high spatio-temporal-resolution 3D Cartesian MRI.
  • To enable flexible and retrospective selection of temporal footprint using compressed sensing (CS).

Main Methods:

  • A complementary Poisson-disc k-space sampling trajectory was designed for view sharing and CS integration.
  • The method was applied to two-point Dixon-based DCE-MRI of the breast and abdomen.
  • Validation was performed in vivo using variable-flip-angle data for retrospective acceleration and ground truth comparison.

Main Results:

  • Breast DCE-MRI showed a 2.3-fold retrospective reduction in temporal footprint without noticeable artifacts, enhancing visualization of rapidly enhancing lesions.
  • Reduced view sharing improved accuracy in reconstruction and T1 mapping.
  • Abdominal MRI achieved 2.3-fold and 3.6-fold reductions in temporal footprint, leading to decreased motion artifacts.

Conclusions:

  • The complementary-Poisson-disc k-space sampling trajectory enables retrospective spatiotemporal resolution tradeoffs via CS and view sharing.
  • This technique enhances robustness to motion and contrast enhancement artifacts.
  • Validation using fully acquired variable-flip-angle data confirmed the method's efficacy.