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Hepatic MR imaging techniques, optimization, and artifacts.

Flavius F Guglielmo1, Donald G Mitchell1, Christopher G Roth2

  • 1Department of Radiology, Thomas Jefferson University, 132 South 10th Street, Philadelphia, PA 19107, USA.

Magnetic Resonance Imaging Clinics of North America
|August 4, 2014
PubMed
Summary
This summary is machine-generated.

This article details a 1.5-Tesla (T) hepatic magnetic resonance (MR) imaging protocol to improve efficiency and image quality. It covers optimizing sequences, managing artifacts, and timing contrast for better liver imaging across major scanner brands.

Keywords:
Diffusion-weighted imagingExtracellular space contrast agentsHepatic MRI protocolHepatic MRI sequence optimizationHepatocyte-specific contrast agentsMinimizing hepatic MRI artifactsParallel imaging techniquesPostgadolinium pulse sequences

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Area of Science:

  • Medical Imaging
  • Radiology
  • Magnetic Resonance Imaging

Background:

  • Hepatic magnetic resonance (MR) imaging is crucial for diagnosing liver conditions.
  • Standardized and optimized protocols are needed for consistent, high-quality liver imaging.
  • Variations in scanner hardware and software can affect imaging performance.

Purpose of the Study:

  • To describe a standardized 1.5-Tesla (T) hepatic MR imaging protocol.
  • To provide strategies for optimizing pulse sequences and managing artifacts.
  • To outline an effective sequence order for efficient and high-quality hepatic MR examinations.

Main Methods:

  • Development of a basic 1.5-T hepatic MR imaging protocol.
  • Strategies for pulse sequence optimization and artifact management.
  • Emphasis on proper timing of postgadolinium 3-dimensional gradient echo sequences.
  • Implementation across General Electric, Philips, and Siemens clinical scanners.

Main Results:

  • A generalizable approach for efficient and high-quality hepatic MR imaging.
  • Demonstrated applicability across multiple major clinical scanner platforms.
  • Improved understanding of sequence optimization and artifact control in liver MR.

Conclusions:

  • The described protocol provides a framework for consistent and high-quality hepatic MR imaging.
  • Optimization strategies and sequence ordering enhance examination efficiency.
  • The protocol's generalizability across different vendors facilitates widespread adoption.