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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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...
301

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Related Experiment Video

Updated: Sep 4, 2025

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
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Tissue volume estimation and age prediction using rapid structural brain scans.

Harriet Hobday1, James H Cole2,3, Ryan A Stanyard4,5

  • 1Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Scientific Reports
|July 14, 2022
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Summary
This summary is machine-generated.

The novel multicontrast EPImix MRI sequence offers fast, reliable T1-weighted scans comparable to conventional methods. Quantitative analysis shows potential for reduced scan times and automated neuroimaging.

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Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Conventional MRI sequences are time-consuming.
  • The multicontrast EPImix sequence offers rapid acquisition of multiple contrasts, including T1-weighted scans, in approximately one minute.
  • Previous evaluations showed comparable diagnostic performance qualitatively, but quantitative comparisons were lacking.

Purpose of the Study:

  • To quantitatively compare conventional and EPImix-derived T1-weighted MRI scans.
  • To assess tissue volume estimates and brain-age prediction accuracy between the two sequences.
  • To evaluate the test-retest reliability of EPImix scans.

Main Methods:

  • 64 healthy participants underwent both conventional and EPImix T1-weighted MRI scans.
  • SPM12 DARTEL pipeline was used for preprocessing and tissue volume estimation (grey matter, white matter, CSF).
  • Brain-age was predicted using the brainageR model; test-retest reliability was assessed in 10 participants.

Main Results:

  • Global and voxel-wise tissue volume estimates were significantly similar between conventional and EPImix scans.
  • Brain-age estimates were significantly correlated, though EPImix showed a systematic offset potentially due to field of view and model training data.
  • This offset was correctable with regression; high test-retest reliability was observed for EPImix quantitative measures.

Conclusions:

  • EPImix T1-weighted scans provide quantitatively comparable results to conventional scans for tissue volume and brain-age prediction (with correction).
  • The sequence demonstrates high test-retest reliability.
  • EPImix has potential to significantly reduce MRI scanning time, enhance participant comfort, lower costs, and enable automated, personalized neuroimaging.