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Updated: Jan 26, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
3D quantitative synthetic MRI-derived cortical thickness and subcortical brain volumes: Scan-rescan repeatability and
Shohei Fujita1, Akifumi Hagiwara1,2, Masaaki Hori1
1Department of Radiology, Juntendo University Hospital, Tokyo, Japan.
Background:
Previous quantitative synthetic MRI of the brain has been solely performed in 2D.
Purpose:
To evaluate the feasibility of the recently developed sequence 3D-QALAS for brain cortical thickness and volumetric analysis.
Study Type:
Reproducibility/repeatability study.
Subjects:
Twenty-one healthy volunteers (35.6 ± 13.8 years).
Field Strength/Sequence:
3D T1 -weighted fast spoiled gradient recalled echo (FSPGR) sequence was performed once, and 3D-QALAS sequence was performed twice with a 3T scanner.
Assessment:
FreeSurfer and FIRST were used to measure cortical thickness and volume of subcortical structures, respectively. Agreement with FSPGR and scan-rescan repeatability were evaluated for 3D-QALAS.
Statistical Tests:
Percent relative difference and intraclass correlation coefficient (ICC) were used to assess reproducibility and scan-rescan repeatability of the 3D-QALAS sequence-derived measurements.
Results:
Percent relative difference compared with FSPGR in cortical thickness of the whole cortex was 3.1%, and 89% of the regional areas showed less than 10% relative difference in cortical thickness. The mean ICC across all regions was 0.65, and 74% of the structures showed substantial to almost perfect agreement. For volumes of subcortical structures, the median percent relative differences were lower than 10% across all subcortical structures, except for the accumbens area, and all structures showed ICCs of substantial to almost perfect agreement. For the scan-rescan test, percent relative difference in cortical thickness of the whole cortex was 2.3%, and 97% of the regional areas showed less than 10% relative difference in cortical thickness. The mean ICC across all regions was 0.73, and 80% showed substantial to almost perfect agreement. For volumes of subcortical structures, relative differences were less than 10% across all subcortical structures except for the accumbens area, and all structures showed ICCs of substantial to almost perfect agreement.
Data Conclusion:
3D-QALAS could be reliably used for measuring cortical thickness and subcortical volumes in most brain regions.
Level Of Evidence:
3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1834-1842.
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