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Image reconstruction: an overview for clinicians.

Michael S Hansen1, Peter Kellman

  • 1National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.

Journal of Magnetic Resonance Imaging : JMRI
|June 26, 2014
PubMed
Summary
This summary is machine-generated.

This review explains magnetic resonance imaging (MRI) image reconstruction, detailing signal processing steps that impact clinical image quality. It covers essential components and quality metrics like signal-to-noise ratio for better understanding.

Keywords:
Gibbs ringingimage reconstructionnoise correlationpoint spread functionraw data filteringsignal to noise ratio

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Area of Science:

  • Medical Imaging
  • Signal Processing
  • Biophysics

Background:

  • Magnetic resonance imaging (MRI) raw data requires complex reconstruction for clinical interpretation.
  • Image reconstruction involves multiple signal processing steps influencing diagnostic image quality.

Purpose of the Study:

  • To explain fundamental MRI image reconstruction steps for readers without signal processing expertise.
  • To define key image quality metrics such as signal-to-noise ratio and point spread function.

Main Methods:

  • Discussion of noise prewhitening for phased array data.
  • Explanation of interpolation for square pixel reconstruction.
  • Overview of raw data filtering to reduce Gibbs ringing artifacts.
  • Description of Fourier transforms for raw data to image space conversion.
  • Elaboration on phased array coil combination techniques, including parallel imaging.

Main Results:

  • Provides a clear understanding of how individual reconstruction components affect MRI image quality.
  • Enables readers to comprehend the terminology for quantifying image quality in MRI.
  • Demystifies the role of signal processing in generating clinically interpretable MRI images.

Conclusions:

  • Basic image reconstruction steps are crucial for generating diagnostic MRI images.
  • Understanding these steps and quality metrics enhances the interpretation of MRI scans.
  • This review serves as a foundational guide to MRI image reconstruction for a non-specialist audience.