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Updated: Sep 3, 2025

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
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Three-dimensional Multi-parameter Mapping of Relaxation Times and Susceptibility Using Partially RF-spoiled Gradient
Yo Taniguchi1, Suguru Yokosawa1, Toru Shirai1
1Innovative Technology Laboratory, FUJIFILM Healthcare Corporation.
Summary
This study introduces a new MR quantitative parameter mapping (QPM) method for simultaneous measurement of T1, T2*, proton density, susceptibility, and B1. This advanced MRI technique offers accurate and repeatable results for potential clinical applications in disease diagnosis.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Medical Physics
- Quantitative Imaging
Background:
- MR parameter mapping provides crucial tissue characteristics like relaxation times and proton density (PD).
- Quantitative susceptibility mapping shows promise for early detection of neurological disorders.
- Simultaneous mapping of multiple MR parameters can enhance diagnostic capabilities.
Purpose of the Study:
- To develop a novel MR quantitative parameter mapping (QPM) method.
- To simultaneously map four tissue parameters (T1, T2*, PD, susceptibility) and B1.
- To validate the accuracy and repeatability of the developed QPM method.
Main Methods:
- Utilized a 3D partially RF-spoiled gradient echo (pRSGE) sequence.
- Varied scan parameters (flip angle, RF-pulse phase increment, TR, TE) for multiple image acquisitions.
- Employed Bloch simulations and least-squares fitting for numerical intensity function estimation.
Main Results:
- Achieved 1.1-mm isotropic whole-brain coverage in approximately 12 minutes.
- Demonstrated high accuracy and repeatability in phantom experiments.
- Showcased accuracy comparable to conventional methods in volunteer scans.
Conclusions:
- The developed QPM method enables simultaneous mapping of T1, T2*, PD, susceptibility, and B1.
- The method's scan time is suitable for human subjects.
- QPM offers a potentially valuable tool for clinical diagnosis and disease quantification.
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