Surface matching algorithms for computer aided reconstructive plastic surgery

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

Surface matching algorithms for computer aided reconstructive plastic surgery

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

Plastic Surgery

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 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 language	English (US)
Title of host publication	2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	Macro to Nano
Pages	740-743
Number of pages	4
State	Published - 2004
Event	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States Duration: Apr 15 2004 → Apr 18 2004

Publication series

Name	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume	1

Other

Other	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/Territory	United States
City	Arlington, VA
Period	4/15/04 → 4/18/04

Keywords

Computer Tomography
Computer-aided Reconstructive Surgery
Surface Matching

ASJC Scopus subject areas

General Engineering

Cite this

Surface matching algorithms for computer aided reconstructive plastic surgery. / Bhandarkar, S. M.; Chowdhury, A. S.; Tang, Yarong et al.
2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004. p. 740-743 (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bhandarkar, SM, Chowdhury, AS, Tang, Y, Yu, J & Tollner, EW 2004, Surface matching algorithms for computer aided reconstructive plastic surgery. in 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, vol. 1, pp. 740-743, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, Arlington, VA, United States, 4/15/04.

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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.",

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AU - Bhandarkar, S. M.

AU - Chowdhury, A. S.

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AU - Yu, Jack

AU - Tollner, E. W.

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Y1 - 2004

N2 - 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.

AB - 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.

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KW - Computer-aided Reconstructive Surgery

KW - Surface Matching

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ER -

Surface matching algorithms for computer aided reconstructive plastic surgery

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

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