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A registration-based segmentation pipeline for human mandible extraction from CT images

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Semi-Automatic Mandible Segmentation (SAMS) Pipeline

This readthedoc repository is a draft/copy for the active documentation associated with the Vocal Tract Development Lab's 2018 publication. The SAMS pipeline is a registration-based pipeline designed to process large-scale head and neck Computed Tomography (CT) studies for extraction of 3D binary models of human jaw (mandibles).

Publication

Chuang, Y. J., Doherty, B. M., Adluru, N., Chung, M. K., Vorperian, H. K. (2018) A novel registration-based semiautomatic mandible segmentation pipeline using computed tomography images to study mandibular development. J. Comput. Assist. Tomogr. 42(2): 306-316. doi:10.1097/RCT.0000000000000669

Links

See active documentation page at: http:https://samsdoc.readthedocs.io/

Publication URL at PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28937489

Illustrations

Effect of adjusting threshold values on 3D CT rendering for best visualization of boney structure:

raw_threshold

Composite and normalized 3D model of all segmented mandibles from Automatic Segmentation:

matlabrender

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A registration-based segmentation pipeline for human mandible extraction from CT images

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