Skip to content

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

License

Notifications You must be signed in to change notification settings

ychuang6/sams-documentation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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://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

About

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

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published