Accurate automatic estimation of total intracranial volume: a nuisance variable with less nuisance
Ian B Malone1, Kelvin K Leung1, Shona Clegg1
1Dementia Research Centre (DRC), Institute of Neurology, University College London, Queen Square, London WC1N 3BG, UK.
Neuroimage
|September 27, 2014
Summary
Statistical Parametric Mapping 12 (SPM12) automated segmentation provides reliable total intracranial volume (TIV) measurements. SPM12 TIV is a suitable substitute for manual segmentation in neurodegenerative disease research.
Area of Science:
- Neuroimaging
- Neurodegeneration Research
- Brain Volumetric Analysis
Background:
- Total intracranial volume (TIV) is crucial for brain volumetric studies, particularly in neurodegenerative diseases.
- Manual TIV measurement is the gold standard but is labor-intensive and requires expert operators.
Purpose of the Study:
- To evaluate the accuracy of Statistical Parametric Mapping 12 (SPM12) automated segmentation for TIV measurement.
- To compare SPM12 with SPM8 and FreeSurfer 5.3.0 against manual segmentation.
Main Methods:
- T1-weighted MRI scans from 288 participants in an Alzheimer's disease clinical trial were analyzed.
- Automated segmentation using SPM12, SPM8, and FreeSurfer 5.3.0 was compared to manual delineation.
Main Results:
- SPM12 showed a high correlation with manual TIV (R²=0.940), outperforming SPM8 (R²=0.577) and FreeSurfer (R²=0.801).
- SPM12 TIV estimates were slightly lower than manual (mean difference 40.4±35.4ml, 2.8%).
- SPM12's correlation with manual measurements was significantly higher (p<0.001).
Conclusions:
- SPM12 automated segmentation is an acceptable and efficient substitute for manual TIV measurement.
- SPM12 TIV estimation is reliable even in multi-center studies with neurodegenerative pathology.
- Statistical modeling approaches for TIV adjustment are also discussed.
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