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. Author manuscript; available in PMC: 2022 May 11.
Published in final edited form as: J Alzheimers Dis. 2020;74(4):1057–1068. doi: 10.3233/JAD-190706

Fig. 1.

Fig. 1.

GMM segmentation pipeline. Panel A depicts the pipeline steps. Step 1: Combining lateral ventricle and ChP segmentations to get a single mask including all the voxels within the lateral ventricles. Step 2: Bayesian GMM with two components is applied to the intensity values of the voxels of the mask from step 1. Voxels that belong to the cluster with the higher average intensity value are used for the next step. Step 3: Smoothing with 3D Susan algorithm (implemented in FSL) (sigma = 1 mm). Step 4: Second Bayesian GMM with three components. The voxels that belong to the cluster with the highest average intensity value are chosen as the final ChP segmentation. Panel B illustrates sample images for each step. Panel C shows the histogram of voxel intensities and fitted GMMs. GMM, Gaussian Mixture Model; ChP, choroid plexus.