Highly undersampled peripheral Time-of-Flight magnetic resonance angiography: optimized data acquisition and iterative image reconstruction

  • Jana Hutter
  • Robert Grimm
  • Christoph Forman
  • Joachim Hornegger
  • Peter Schmitt
Research Article

Abstract

Object

The aim of this study was to investigate the acceleration of peripheral Time-of-Flight magnetic resonance angiography using Compressed Sensing and parallel magnetic resonance imaging (MRI) while preserving image quality and vascular contrast.

Materials and methods

An analytical sampling pattern is proposed that combines aspects of parallel MRI and Compressed Sensing. It is used in combination with a dedicated Split Bregman algorithm. This approach is compared with current state-of-the-art patterns and reconstruction algorithms.

Results

The acquisition time was reduced from 30 to 2.5 min in a study using ten volunteer data sets, while showing improved sharpness, better contrast and higher accuracy compared to state-of-the-art techniques.

Conclusion

This study showed the benefits of the proposed dedicated analytical sampling pattern and Split Bregman algorithm for optimizing the Compressed Sensing reconstruction of highly accelerated peripheral Time-of-Flight data.

Keywords

Iterative reconstruction Non-contrast-enhanced MRA Peripheral angiography Compressed Sensing 

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Copyright information

© ESMRMB 2015

Authors and Affiliations

  • Jana Hutter
    • 1
    • 2
  • Robert Grimm
    • 1
  • Christoph Forman
    • 1
    • 2
  • Joachim Hornegger
    • 1
    • 2
  • Peter Schmitt
    • 3
  1. 1.Pattern Recognition Lab, Department of Computer ScienceFriedrich-Alexander University of Erlangen-NurembergErlangenGermany
  2. 2.School of Advanced Optical TechnologiesErlangenGermany
  3. 3.MR Applications and Workflow Development, Healthcare SectorSiemens AGErlangenGermany

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