Combining biometric and symbolic models for customised, automated prosthesis design

Authors:
S. Modgil;T. J. Hutton;P. Hammond;J. C. Davenport
Affiliations:
Department of Biomedical Informatics, Eastman Dental Institute for Oral Health Care Sciences, University College London, 256 Gray's Inn Road, London WC1X 8LD, UK;Department of Biomedical Informatics, Eastman Dental Institute for Oral Health Care Sciences, University College London, 256 Gray's Inn Road, London WC1X 8LD, UK;Department of Biomedical Informatics, Eastman Dental Institute for Oral Health Care Sciences, University College London, 256 Gray's Inn Road, London WC1X 8LD, UK;School of Dentistry, The University of Birmingham, St. Chad's Queensway, Birmingham B4 5NN, UK
Venue:
Artificial Intelligence in Medicine
Year:
2002

Citing 5
Cited 2

Active shape models—their training and application

Computer Vision and Image Understanding
Logic, Programming and PROLOG

Logic, Programming and PROLOG
Active Appearance Models

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Active Shape Models for Customised Prosthesis Design

AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Paper: Logic-based integrity constraints and the design of dental prostheses

Artificial Intelligence in Medicine

Bayes Reconstruction of Missing Teeth

Journal of Mathematical Imaging and Vision
Reconstructing teeth with bite information

SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

In a previous paper [Artif. Intell. Med. 5 (1993) 431] we described RaPiD, a knowledge-based system for designing dental prostheses. The present paper discusses how RaPiD has been extended using techniques from computer vision and logic grammars. The first employs point distribution and active shape models (ASMs) to determine dentition from images of casts of patient's jaws. This enables a design to be customised to, and visualised against, an image of a patient's dentition. The second is based on the notion of a path grammar, a form of logic grammar, to generate a path linking an ordered sequence of subcomponents. The shape of an important and complex prosthesis component can be automatically seeded in this fashion. Combining these models now substantially automates the design process, beginning with a photograph of a dental cast and ending with an annotated and validated design diagram ready to guide manufacture.