Automated three-piece digital dental articulation

Jianfu Li; Flavio Ferraz; Shunyao Shen; Yi Fang Lo; Xiaoyan Zhang; Peng Yuan; Zhen Tang; Ken Chung Chen; Jaime Gateno; Xiaobo Zhou; James J. Xia

doi:10.1007/978-3-319-24553-9_60

Automated three-piece digital dental articulation

Jianfu Li, Flavio Ferraz, Shunyao Shen, Yi Fang Lo, Xiaoyan Zhang, Peng Yuan, Zhen Tang, Ken Chung Chen, Jaime Gateno, Xiaobo Zhou, James J. Xia

Department of Dentistry(NCKUH)

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

2 Citations (Scopus)

Abstract

In craniomaxillofacial (CMF) surgery, a critical step is to reestablish dental occlusion. Digitally establishing new dental occlusion is extremely difficult. It is especially true when the maxilla is segmentalized into 3 pieces, a common procedure in CMF surgery. In this paper, we present a novel midlineguided occlusal optimization (MGO) approach to automatically and efficiently reestablish dental occlusion for 3-piece maxillary surgery. Our MGO approach consists of 2 main steps. The anterior segment of the maxilla is first aligned to the intact mandible using our ergodic midline-match algorithm. The right and left posterior segments are then aligned to the mandible in sequence using an improved iterative surface-based minimum distance mapping algorithm. Our method has been validated using 15 sets of digital dental models. The results showed our algorithm-generated 3-piece articulation is more efficient and effective than the current standard of care method. The results demonstrated our approach’s significant clinical impact and technical contributions.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	488-496
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-319-24553-9_60
Publication status	Published - 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9349
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-24553-9_60

Cite this

Li, J., Ferraz, F., Shen, S., Lo, Y. F., Zhang, X., Yuan, P., Tang, Z., Chen, K. C., Gateno, J., Zhou, X., & Xia, J. J. (2015). Automated three-piece digital dental articulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 488-496). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9349). Springer Verlag. https://doi.org/10.1007/978-3-319-24553-9_60

Li, Jianfu ; Ferraz, Flavio ; Shen, Shunyao et al. / Automated three-piece digital dental articulation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, 2015. pp. 488-496 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inbook{a19644f0be3d459c9e486d56cb3acef8,

title = "Automated three-piece digital dental articulation",

abstract = "In craniomaxillofacial (CMF) surgery, a critical step is to reestablish dental occlusion. Digitally establishing new dental occlusion is extremely difficult. It is especially true when the maxilla is segmentalized into 3 pieces, a common procedure in CMF surgery. In this paper, we present a novel midlineguided occlusal optimization (MGO) approach to automatically and efficiently reestablish dental occlusion for 3-piece maxillary surgery. Our MGO approach consists of 2 main steps. The anterior segment of the maxilla is first aligned to the intact mandible using our ergodic midline-match algorithm. The right and left posterior segments are then aligned to the mandible in sequence using an improved iterative surface-based minimum distance mapping algorithm. Our method has been validated using 15 sets of digital dental models. The results showed our algorithm-generated 3-piece articulation is more efficient and effective than the current standard of care method. The results demonstrated our approach{\textquoteright}s significant clinical impact and technical contributions.",

author = "Jianfu Li and Flavio Ferraz and Shunyao Shen and Lo, {Yi Fang} and Xiaoyan Zhang and Peng Yuan and Zhen Tang and Chen, {Ken Chung} and Jaime Gateno and Xiaobo Zhou and Xia, {James J.}",

year = "2015",

doi = "10.1007/978-3-319-24553-9_60",

language = "English",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "488--496",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "Germany",

}

Li, J, Ferraz, F, Shen, S, Lo, YF, Zhang, X, Yuan, P, Tang, Z, Chen, KC, Gateno, J, Zhou, X & Xia, JJ 2015, Automated three-piece digital dental articulation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9349, Springer Verlag, pp. 488-496. https://doi.org/10.1007/978-3-319-24553-9_60

Automated three-piece digital dental articulation. / Li, Jianfu; Ferraz, Flavio; Shen, Shunyao et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, 2015. p. 488-496 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9349).

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

TY - CHAP

T1 - Automated three-piece digital dental articulation

AU - Li, Jianfu

AU - Ferraz, Flavio

AU - Shen, Shunyao

AU - Lo, Yi Fang

AU - Zhang, Xiaoyan

AU - Yuan, Peng

AU - Tang, Zhen

AU - Chen, Ken Chung

AU - Gateno, Jaime

AU - Zhou, Xiaobo

AU - Xia, James J.

PY - 2015

Y1 - 2015

N2 - In craniomaxillofacial (CMF) surgery, a critical step is to reestablish dental occlusion. Digitally establishing new dental occlusion is extremely difficult. It is especially true when the maxilla is segmentalized into 3 pieces, a common procedure in CMF surgery. In this paper, we present a novel midlineguided occlusal optimization (MGO) approach to automatically and efficiently reestablish dental occlusion for 3-piece maxillary surgery. Our MGO approach consists of 2 main steps. The anterior segment of the maxilla is first aligned to the intact mandible using our ergodic midline-match algorithm. The right and left posterior segments are then aligned to the mandible in sequence using an improved iterative surface-based minimum distance mapping algorithm. Our method has been validated using 15 sets of digital dental models. The results showed our algorithm-generated 3-piece articulation is more efficient and effective than the current standard of care method. The results demonstrated our approach’s significant clinical impact and technical contributions.

AB - In craniomaxillofacial (CMF) surgery, a critical step is to reestablish dental occlusion. Digitally establishing new dental occlusion is extremely difficult. It is especially true when the maxilla is segmentalized into 3 pieces, a common procedure in CMF surgery. In this paper, we present a novel midlineguided occlusal optimization (MGO) approach to automatically and efficiently reestablish dental occlusion for 3-piece maxillary surgery. Our MGO approach consists of 2 main steps. The anterior segment of the maxilla is first aligned to the intact mandible using our ergodic midline-match algorithm. The right and left posterior segments are then aligned to the mandible in sequence using an improved iterative surface-based minimum distance mapping algorithm. Our method has been validated using 15 sets of digital dental models. The results showed our algorithm-generated 3-piece articulation is more efficient and effective than the current standard of care method. The results demonstrated our approach’s significant clinical impact and technical contributions.

UR - http://www.scopus.com/inward/record.url?scp=84947418713&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84947418713&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-24553-9_60

DO - 10.1007/978-3-319-24553-9_60

M3 - Chapter

AN - SCOPUS:84947418713

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 488

EP - 496

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -

Li J, Ferraz F, Shen S, Lo YF, Zhang X, Yuan P et al. Automated three-piece digital dental articulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2015. p. 488-496. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-24553-9_60

Automated three-piece digital dental articulation

Abstract

Publication series

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this