A novel multifaceted virtual craniofacial surgery scheme using computer vision

A. S. Chowdhury, S. M. Bhandarkar, E. W. Tollner, G. Zhang, J. C. Yu, E. Ritter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The paper addresses the problem of virtual craniofacial reconstruction from a set of Computer Tomography (CT) images, with the multiple objectives of achieving accurate local matching of the opposable fracture surfaces and preservation of the global shape symmetry and the biomechanical stability of the reconstructed mandible. The first phase of the reconstruction, with the mean squared error as the performance metric, achieves the best possible local surface matching using the Iterative Closest Point (ICP) algorithm and the Data Aligned Rigidity Constrained Exhaustive Search (DARCES) algorithm each used individually and then in a synergistic combination. The second phase, which consists of an angular perturbation scheme, optimizes a composite reconstruction metric. The composite reconstruction metric is a linear combination of the mean squared error, a global shape symmetry term and the surface area which is shown to be a measure of biomechanical stability. Experimental results, including a thorough validation scheme on simulated fractures in phantoms of the craniofacial skeleton, are presented.

Original languageEnglish (US)
Title of host publicationComputer Vision for Biomedical Image Applications - First International Workshop, CVBIA 2005, Proceedings
Pages146-159
Number of pages14
DOIs
StatePublished - Dec 1 2005
Event1st International Workshop on Computer Vision for Biomedical Image Applications, CVBIA 2005 - Beijing, China
Duration: Oct 21 2005Oct 21 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3765 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on Computer Vision for Biomedical Image Applications, CVBIA 2005
CountryChina
CityBeijing
Period10/21/0510/21/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Chowdhury, A. S., Bhandarkar, S. M., Tollner, E. W., Zhang, G., Yu, J. C., & Ritter, E. (2005). A novel multifaceted virtual craniofacial surgery scheme using computer vision. In Computer Vision for Biomedical Image Applications - First International Workshop, CVBIA 2005, Proceedings (pp. 146-159). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3765 LNCS). https://doi.org/10.1007/11569541_16