probability atlas of the locus coeruleus
Description: A probabilistic LC atlas based on the segmentation through majority voting from multi-atlases A majority voting method was implemented to generate an individual LC segmentation from five distinct warped atlas images. This approach utilized population probabilities and maintained the consistency of individual voxel intensities within target regions. To this end, we applied ANTs deformable registration with normalized cross-correlation (2-mm radius, 3-mm smoothing of the deformation map) of joint T1w/T2w (preprocessed: bias-field correction, skull stripping, a rigid transform into the standard MNI brain, and correcting intensity inhomogeneity using N4). Subsequently, individual LC segmentations were completed using five atlases on the neuromelanin-sensitive space. The majority voting method was then applied across five segments using a criterion where the threshold exceeded 50% probability. The final majority-voted segment of each individual was transformed to the 1mm-MNI space and averaged across 157 individuals, resulting in probability information.
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