Computational neuroscienceImproved segmentation of cerebellar structures in children

- The probabilistic Cape Town Pediatric Cerebellar Atlas (CAPCA18) provides accurate assignment of 16 hemispheric regions.
- In a pediatric dataset (age 9-13 years), automated CAPCA18 atlas based segmentation performs better than SUIT segmentation.
- Multi atlas based label fusion using the 18 training atlases improves spatial overlap with manual tracings, compared to CAPCA18 segmentation.

BackgroundConsistent localization of cerebellar cortex in a standard coordinate system is important for functional studies and detection of anatomical alterations in studies of morphometry. To date, no pediatric cerebellar atlas is available.New methodThe probabilistic Cape Town Pediatric Cerebellar Atlas (CAPCA18) was constructed in the age-appropriate National Institute of Health Pediatric Database asymmetric template space using manual tracings of 16 cerebellar compartments in 18 healthy children (9-13 years) from Cape Town, South Africa. The individual atlases of the training subjects were also used to implement multi atlas label fusion using multi atlas majority voting (MAMV) and multi atlas generative model (MAGM) approaches. Segmentation accuracy in 14 test subjects was compared for each method to 'gold standard' manual tracings.ResultsSpatial overlap between manual tracings and CAPCA18 automated segmentation was 73% or higher for all lobules in both hemispheres, except VIIb and X. Automated segmentation using MAGM yielded the best segmentation accuracy over all lobules (mean Dice Similarity Coefficient 0.76; range 0.55-0.91; mean Hausdorff distance 0.9 mm; range 0.8-2.7 mm).Comparison with existing methodsIn all lobules, spatial overlap of CAPCA18 segmentations with manual tracings was similar or higher than those obtained with SUIT (spatially unbiased infra-tentorial template), providing additional evidence of the benefits of an age appropriate atlas. MAGM segmentation accuracy was comparable to values reported recently by Park et al. (Neuroimage 2014;95(1):217) in adults (across all lobules mean DSC = 0.73, range 0.40-0.89).ConclusionsCAPCA18 and the associated multi-subject atlases of the training subjects yield improved segmentation of cerebellar structures in children.