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Golden ratio sparse MRI using tiny golden angles.

Stefan Wundrak1,2, Jan Paul1, Johannes Ulrici2

  • 1Department of Internal Medicine II, University Hospital of Ulm, Ulm, Germany.

Magnetic Resonance in Medicine
|July 8, 2015
PubMed
Summary
This summary is machine-generated.

Tiny golden angles reduce MRI artifacts in balanced SSFP sequences. This new tyGRASP method enables sparse, golden-ratio-based imaging, improving image quality for cardiac and temporomandibular joint applications.

Keywords:
TMJcardiaccinecompressed sensinggolden angleiGRASPsparse MRI

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Physics

Background:

  • Balanced steady-state free precession (bSSFP) sequences are prone to eddy current artifacts when combined with iterative golden angle radial sparse parallel (iGRASP) MRI.
  • The large angular increment in golden angle ordering exacerbates these artifacts, limiting image quality.

Purpose of the Study:

  • To enable the combination of iGRASP MRI with bSSFP sequences by utilizing recently developed tiny golden angles.
  • To mitigate eddy current-induced artifacts in sparse, golden-ratio-based MRI.

Main Methods:

  • Analysis of tiny golden angle trajectories for incoherence properties using time-resolved point-spread functions.
  • Introduction and evaluation of tiny golden angle radial sparse parallel (tyGRASP) MRI.
  • Application in cardiac imaging and dynamic temporomandibular joint imaging at 3 T and 1.5 T.

Main Results:

  • Tiny golden angle trajectories exhibit incoherence properties suitable for sparse MRI reconstruction, comparable to standard golden angles.
  • The tyGRASP method significantly reduces eddy current-related artifacts in both cardiac and temporomandibular joint imaging.
  • Successful implementation and validation at both 3 T and 1.5 T field strengths.

Conclusions:

  • This work facilitates sparse, golden-ratio-based imaging with bSSFP sequences.
  • The tyGRASP technique offers a viable solution for reducing artifacts in advanced MRI applications.
  • The findings pave the way for improved image quality in dynamic and cardiac MRI.