Evaluating reliability of automated quantitative brain morphometry from fetal T2-weighted MRI.
Automated fetal brain cortical measurements show excellent reliability across repeated MRI reconstructions.
Evaluating reliability of automated quantitative brain morphometry from fetal T2-weighted MRI.
Three-dimensional assessment of fetal cortical morphology from MRI is essential for understanding early brain neurodevelopment.
This study proposes a within-session benchmark for automated fetal cortical measurements and underscores that systematic reliability assessment is essential for confident application of automated pipelines in fetal neuroimaging.
We evaluated the within-session reliability of an automated cortical morphometry pipeline in 30 typically developing fetuses [22-36 weeks gestational age (gestational age)].
measurements were nearly identical across repeated scans
Slice-to-Volume Reconstruction Toolkit-derived metrics were also robust (mean absolute percent difference < 5%, intraclass correlation coefficients > 0.97).
Reliability increased with greater stack count and older gestational age in Neural Slice-to-Volume Reconstruction, and with higher mean stack quality in Slice-to-Volume Reconstruction Toolkit.
This study proposes a within-session benchmark for automated fetal cortical measurements and underscores that systematic reliability assessment is essential for confident application of automated pipelines in fetal neuroimaging.