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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Comprehensive brain analysis with automated high-resolution magnetization transfer measurements.

Ying Wu1, Hongyan Du, Pippa Storey

  • 1Radiology, NorthShore University HealthSystem, Evanston, Illinois 60201, USA. YWu@northshore.org

Journal of Magnetic Resonance Imaging : JMRI
|October 13, 2011
PubMed
Summary

An automated method improves magnetization transfer ratio (MTR) measurements in subcortical brain regions. This approach offers enhanced reliability and spatial resolution compared to manual methods for MTR analysis.

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Area of Science:

  • Neuroimaging
  • Quantitative MRI

Background:

  • Magnetization Transfer Ratio (MTR) is crucial for assessing brain tissue integrity.
  • Interrogation of subcortical brain regions requires high-resolution and reliable MTR measurements.

Purpose of the Study:

  • To develop and validate an automated volume of interest (VOI) approach for MTR measurement.
  • To enhance the reliability and spatial resolution of MTR in subcortical brain regions.

Main Methods:

  • A 3D magnetization transfer (MT) sequence was used with a scan-rescan protocol in nine healthy volunteers.
  • Automated VOI masks generated via FreeSurfer were compared to manual region of interest (ROI) methods.
  • Intraclass correlation coefficients (ICCs), coefficients of variation (CVs), and instrumental standard deviation (ISD) were calculated.

Main Results:

  • Automated VOI approach showed lower CVs (1.29%-2.64%) and ISDs (0.62-1.10 pu) compared to manual ROI (CVs: 1.30%-3.40%; ISDs: 0.68-1.67 pu).
  • Bland-Altman analysis confirmed interchangeability between automated VOI and manual ROI measurements.
  • Phantom scans demonstrated longitudinal stability of MTR measurements.

Conclusions:

  • The automated VOI method for MTR measurement offers superior reliability (higher ICCs, lower CVs, lower ISDs) over manual methods.
  • This automated strategy is feasible for obtaining reliable MTR in critical subcortical regions like the hippocampus.