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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
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Efficient Whole-Brain Quantitative Magnetization Transfer Imaging at 3T Using Segmented EPI Readout with Variable

Se-Hong Oh1, Ken E Sakaie2, Gawon Lee3

  • 1Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea; Diagnostic Radiology, Diagnostics Institute, Cleveland Clinic, Cleveland, Ohio, USA.

Neuroimage
|December 5, 2025
PubMed
Summary
This summary is machine-generated.

A new fast quantitative magnetization transfer (qMT) imaging method, EP-vpMT, significantly reduces scan time while accurately measuring brain microstructure. This technique shows promise for diagnosing conditions like multiple sclerosis (MS).

Keywords:
3T MRI7T MRImultiple sclerosismyelinquantitative magnetization transferrepeatability

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Area of Science:

  • Magnetic Resonance Imaging
  • Neuroimaging
  • Biophysics

Background:

  • Quantitative magnetization transfer (qMT) imaging is crucial for assessing myelin and brain microstructure.
  • Conventional qMT methods are limited by lengthy scan times, hindering clinical application.
  • Developing faster qMT techniques is essential for routine use in neurological assessments.

Purpose of the Study:

  • To introduce and validate a novel, fast, and SAR-efficient qMT technique called EP-vpMT.
  • To compare the performance of EP-vpMT against conventional GRE-based qMT in terms of speed, accuracy, and reliability.
  • To explore the feasibility of EP-vpMT for detecting lesions in multiple sclerosis (MS) patients at both 3T and 7T.

Main Methods:

  • Implemented a 3D segmented EPI readout with variable power MT preparation (EP-vpMT) at 3T.
  • Acquired pseudo-bound pool fraction (pseudo-BPF) maps in healthy participants and MS patients.
  • Performed Bland-Altman analysis to assess consistency and repeatability against conventional GRE-MT.

Main Results:

  • EP-vpMT reduced whole-brain qMT scan time by 76% (6 min 25 sec vs. 26 min 20 sec) with comparable SAR.
  • Strong agreement was found between EP-vpMT and conventional GRE-MT, with high test-retest reliability.
  • EP-vpMT successfully delineated MS lesions at both 3T and 7T, demonstrating clinical applicability.

Conclusions:

  • EP-vpMT offers a significantly faster alternative for qMT imaging at 3T, maintaining accuracy and reliability.
  • The technique's ability to detect MS lesions and its translatability to ultra-high field MRI are promising.
  • EP-vpMT supports future applications in assessing myelin-related macromolecular content and brain integrity.