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Updated: Nov 9, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
Evaluation of Reproducibility of Brain Volumetry between Commercial Software, Inbrain and Established Research
Jungbin Lee1, Ji Young Lee2, Se Won Oh3
1Department of Radiology, Soonchunghyang University Bucheon Hospital, Bucheon, Korea.
Inbrain and FreeSurfer software demonstrate good-to-excellent reproducibility for brain volumetric measurements. However, factors like subject condition and MRI resolution impact results, highlighting the need for careful consideration in neuroimaging analysis.
Area of Science:
- Neuroimaging
- Medical Software
- Brain Anatomy
Background:
- Assessing intermethod reproducibility is crucial for reliable neuroimaging analysis.
- Commercial software like Inbrain (MIDAS IT) requires validation against established research methods such as FreeSurfer.
Purpose of the Study:
- To evaluate the intermethod reproducibility between Inbrain and FreeSurfer for brain volumetric measurements.
- To investigate the influence of MRI resolution and subject pathology on this reproducibility.
Main Methods:
- Compared volumetric data from 45 healthy volunteers and 85 mild cognitive impairment (MCI) patients.
- Utilized T1-weighted MRI data acquired at 1.0 mm and 1.2 mm in-plane resolutions.
- Calculated within-subject coefficient of variation (CoV) and intraclass correlation coefficient (ICC).
Main Results:
- Excellent overall reproducibility (CoV: 0.5-3.9, ICC: 0.93 to >0.99) between Inbrain and FreeSurfer.
- Intermethod reliability was good in specific regions for healthy volunteers.
- Higher reproducibility was observed with 1.0 mm resolution compared to 1.2 mm resolution.
Conclusions:
- Inbrain and FreeSurfer exhibit good-to-excellent intermethod reproducibility for brain volumetry.
- Subject condition, image resolution, and specific brain regions introduce variability.
- These findings are essential for accurate interpretation of neuroimaging studies.
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