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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Physics-based reconstruction methods for magnetic resonance imaging.

Xiaoqing Wang1,2, Zhengguo Tan1,2, Nick Scholand1,2

  • 1Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 10, 2021
PubMed
Summary
This summary is machine-generated.

Model-based reconstructions improve magnetic resonance imaging (MRI) by reducing scan times and enabling quantitative comparisons. This approach uses physical models for faster, more accurate MRI data acquisition and analysis.

Keywords:
inverse problemsmagnetic resonance imagingmodel-based reconstruction

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Area of Science:

  • Medical Imaging
  • Physics
  • Computer Science

Background:

  • Conventional magnetic resonance imaging (MRI) suffers from prolonged scan durations and qualitative contrasts, hindering inter-system comparisons.
  • Existing MRI techniques lack the ability to provide direct quantitative measurements of tissue parameters.

Purpose of the Study:

  • To introduce and review model-based reconstruction methods for magnetic resonance imaging.
  • To demonstrate how these methods address limitations of conventional MRI, such as long scan times and qualitative contrasts.

Main Methods:

  • Formulating image reconstruction as an inverse problem, explicitly modeling MRI signal generation physics.
  • Acquiring k-space signals efficiently and extracting quantitative maps of physical parameters directly.
  • Developing and presenting several model-based methods with accompanying data and code.

Main Results:

  • Model-based reconstructions enable direct extraction of quantitative parameter maps from k-space data.
  • These methods significantly reduce scan times compared to conventional MRI techniques.
  • Quantitative maps allow for direct system-independent comparisons, overcoming a key limitation of traditional MRI.

Conclusions:

  • Model-based reconstruction is a powerful approach to overcome the inherent limitations of conventional MRI.
  • The presented methods offer a pathway to faster, quantitative, and more comparable MRI scans.
  • Availability of data and code facilitates further research and development in this area.