Related Experiment Video
Updated: Dec 20, 2025
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods
Juli Alonso1,2, Deborah Pareto3,4, Manel Alberich3,4
1Unitat de Ressonància Magnètica. Servei de Radiologia (IDI), Hospital Universitari Vall d'Hebron, Pg Vall d'Hebron 119-129, 08035, Barcelona, Spain. juli.alonso.idi@gencat.cat.
Objective:
For clinical purposes and research projects in neurological disease, it is of interest to evaluate the performance and comparability of available sequences and software packages for brain volume assessment to determine whether they provide equivalent results. This study compares cross-sectional brain volume values derived from images obtained with MP-RAGE or MP2RAGE sequences, using SIENA/X, SPM, or MorphoBox.
Materials And Methods:
MP-RAGE and MP2RAGE T1-weighted images were obtained from 24 healthy volunteers. Back-to-back scans were performed in 12 of them. Brain volumes, coefficients of variation, and concordance coefficients were determined.
Results:
Significant differences were found for most brain volumes derived from MP-RAGE and MP2RAGE images. MP2RAGE-derived measures showed a non-significant trend to larger coefficients of variation. There were statistical differences between brain volumes determined with the three software packages, whereas coefficients of variation were comparable for most brain volumes. Correlation and concordance values were lower for CSF and brain parenchyma fraction measures.
Conclusion:
The results obtained advise caution when comparing brain volumes obtained by different sequences and software packages. Of note, for most brain volume measures, the MP2RAGE and MorphoBox coefficients of variation were similar to those obtained with MP-RAGE, SIENA/X or SPM, accepted tools for clinical research.
