Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation

Yi Ren; Li Wang; Yaozong Gao; Zhen Tang; Ken Chung Chen; Jianfu Li; Steve G F Shen; Jin Yan; Philip K M Lee; Ben Chow; James J. Xia; Dinggang Shen

doi:10.1007/978-3-319-10470-6_10

Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation

Yi Ren, Li Wang, Yaozong Gao, Zhen Tang, Ken Chung Chen, Jianfu Li, Steve G F Shen, Jin Yan, Philip K M Lee, Ben Chow, James J. Xia, Dinggang Shen

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

Abstract

The success of craniomaxillofacial (CMF) surgery depends not only on the surgical techniques, but also upon an accurate surgical planning. However, surgical planning for CMF surgery is challenging due to the absence of a patient-specific reference model. In this paper, we present a method to automatically estimate an anatomically correct reference shape of jaws for the patient requiring orthognathic surgery, a common type of CMF surgery. We employ the sparse representation technique to represent the normal regions of the patient with respect to the normal subjects. The estimated representation is then used to reconstruct a patient-specific reference model with "restored" normal anatomy of the jaws. We validate our method on both synthetic subjects and patients. Experimental results show that our method can effectively reconstruct the normal shape of jaw for patients. Also, a new quantitative measurement is introduced to quantify the CMF deformity and validate the method in a quantitative approach, which is rarely used before.

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	73-80
Number of pages	8
Volume	8674 LNCS
Edition	PART 2
ISBN (Print)	9783319104690
DOIs	https://doi.org/10.1007/978-3-319-10470-6_10
State	Published - Jan 1 2014
Event	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Boston, MA, United States Duration: Sep 14 2014 → Sep 18 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8674 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Country/Territory	United States
City	Boston, MA
Period	9/14/14 → 9/18/14

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-319-10470-6_10

Cite this

Ren, Y., Wang, L., Gao, Y., Tang, Z., Chen, K. C., Li, J., Shen, S. G. F., Yan, J., Lee, P. K. M., Chow, B., Xia, J. J., & Shen, D. (2014). Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 8674 LNCS, pp. 73-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8674 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-319-10470-6_10

Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation. / Ren, Yi; Wang, Li; Gao, Yaozong et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8674 LNCS PART 2. ed. Springer Verlag, 2014. p. 73-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8674 LNCS, No. PART 2).

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

Ren, Y, Wang, L, Gao, Y, Tang, Z, Chen, KC, Li, J, Shen, SGF, Yan, J, Lee, PKM, Chow, B, Xia, JJ & Shen, D 2014, Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 8674 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8674 LNCS, Springer Verlag, pp. 73-80, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, Boston, MA, United States, 9/14/14. https://doi.org/10.1007/978-3-319-10470-6_10

Ren Y, Wang L, Gao Y, Tang Z, Chen KC, Li J et al. Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 8674 LNCS. Springer Verlag. 2014. p. 73-80. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-319-10470-6_10

Ren, Yi ; Wang, Li ; Gao, Yaozong et al. / Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8674 LNCS PART 2. ed. Springer Verlag, 2014. pp. 73-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation

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