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

Department of Dentistry(NCKUH)

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

5 Citations (Scopus)

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

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)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Country	United States
City	Boston, MA
Period	14-09-14 → 14-09-18

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

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

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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 Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings (PART 2 ed., 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

Ren, Yi ; Wang, Li ; Gao, Yaozong ; Tang, Zhen ; Chen, Ken Chung ; Li, Jianfu ; Shen, Steve G.F. ; Yan, Jin ; Lee, Philip K.M. ; Chow, Ben ; Xia, James J. ; Shen, Dinggang. / Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. 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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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.",

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

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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 Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 2 edn, 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, 14-09-14. 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; Tang, Zhen; Chen, Ken Chung; Li, Jianfu; Shen, Steve G.F.; Yan, Jin; Lee, Philip K.M.; Chow, Ben; Xia, James J.; Shen, Dinggang.

Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. 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

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T1 - Estimating anatomically-correct reference model for craniomaxillofacial deformity via sparse representation

AU - Ren, Yi

AU - Wang, Li

AU - Gao, Yaozong

AU - Tang, Zhen

AU - Chen, Ken Chung

AU - Li, Jianfu

AU - Shen, Steve G.F.

AU - Yan, Jin

AU - Lee, Philip K.M.

AU - Chow, Ben

AU - Xia, James J.

AU - Shen, Dinggang

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

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

M3 - Conference contribution

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AN - SCOPUS:84964314007

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

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BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings

PB - Springer Verlag

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Y2 - 14 September 2014 through 18 September 2014

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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 Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. 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); PART 2). https://doi.org/10.1007/978-3-319-10470-6_10