Date of Award
1991
Publication Type
Doctoral Thesis
Degree Name
Ph.D.
Department
Electrical and Computer Engineering
Keywords
Health Sciences, Dentistry.
Supervisor
Sid-Ahmed, M. A.,
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
A new automatic shape recognition algorithm has been developed to extract craniofacial landmarks from lateral skull x-rays (cephalograms). The locations of these landmarks are used by orthodontists in what is referred to as a cephalometric evaluation. The evaluation assists in the diagnosis of anomalies and in the monitoring of treatments. The algorithm is based on grey-scale mathematical morphology. A statistical approach with training was used to overcome subtle differences in skeletal topographies. Decomposition was used to desensitize the algorithm to size differences. Training was also used to minimize the search window sizes for improving speed and minimizing the detection of false targets. A system was trained to locate 20 landmarks. Test on 40 x-rays showed on average, 88% of the landmarks were located to within an acceptable accuracy of 2mm.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1991 .C373. Source: Dissertation Abstracts International, Volume: 53-09, Section: B, page: 4578. Supervisor: M. A. Sid-Ahmed. Thesis (Ph.D.)--University of Windsor (Canada), 1991.
Recommended Citation
Cardillo, John., "Unsupervised machine extraction of craniofacial landmarks for cephalometric evaluations." (1991). Electronic Theses and Dissertations. 4462.
https://scholar.uwindsor.ca/etd/4462