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An Accurate Dictionary Creation Method for MR Fingerprinting Using a Fast Bloch Simulator.

Ryoichi Kose1, Katsumi Kose1

  • 1MRIsimulations Inc.

Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
|June 21, 2019
PubMed
Summary

This study introduces an accurate method for magnetic resonance fingerprinting (MRF) dictionary creation using a fast Bloch image simulator. The method enhances MR parameter mapping accuracy through efficient dictionary generation and pattern matching.

Keywords:
Bloch simulatorgraphics processing unitmagnetic resonance fingerprintingspiral

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Computational Science

Background:

  • Magnetic Resonance Fingerprinting (MRF) enables quantitative tissue parameter mapping.
  • Accurate dictionary generation is crucial for reliable MRF performance.
  • Existing dictionary creation methods can be computationally intensive.

Purpose of the Study:

  • To develop and validate a fast and accurate method for generating MRF dictionaries.
  • To assess the impact of different readout gradients on dictionary generation.
  • To demonstrate the utility of the proposed method for MRF parameter mapping.

Main Methods:

  • Utilized a fast Bloch image simulator for MRF dictionary generation.
  • Employed a fast imaging with steady precession (FISP) based MRF sequence.
  • Simulated Bloch equations with Cartesian and spiral readout gradients using a numerical phantom.

Main Results:

  • Successfully generated MRF dictionaries using the proposed fast Bloch simulation method.
  • Demonstrated the validity and usefulness of the generated dictionaries.
  • Achieved accurate MRF parameter maps via pattern matching with the novel dictionaries.

Conclusions:

  • The proposed fast Bloch image simulation method provides an accurate and efficient approach for MRF dictionary creation.
  • This method holds potential for improving the speed and accuracy of quantitative MRI.
  • The generated dictionaries are suitable for reliable MRF parameter mapping.