Surface matching algorithms for computer aided reconstructive plastic surgery

S. M. Bhandarkar, A. S. Chowdhury, Yarong Tang, Jack C Yu, E. W. Tollner

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

14 Scopus citations

Abstract

High energy traumatic impact of the craniofacial skeleton is an inevitable consequence of today's fast paced society. The work presented in this paper leverages recent advances in computer vision, computer visualization and computeraided manufacturing/design to reduce the fractures and reconstruct the craniofacial skeleton in silica. First, two popular surface matching algorithms namely the Iterative Closest Point (ICP) algorithm and the Data Aligned Rigidity Constrained Exhaustive Search (DARCES) algorithm are applied separately to the problem of craniofacial reconstruction. The potential benefits and shortcomings of both these algorithms are explored. A synergetic combination of the DARCES and ICP algorithms where the output of the DARCES algorithm is fed as input to the ICP algorithm is shown to result in improved performance in terms of both, reconstruction accuracy and execution time.

Original languageEnglish (US)
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages740-743
Number of pages4
Volume1
StatePublished - Dec 1 2004
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: Apr 15 2004Apr 18 2004

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
CountryUnited States
CityArlington, VA
Period4/15/044/18/04

Keywords

  • Computer Tomography
  • Computer-aided Reconstructive Surgery
  • Surface Matching

ASJC Scopus subject areas

  • Engineering(all)

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