Abstract
This study considers the technology of patient-specific computer planning of dentition restoration of edentulous mandible using dental implants. A model of the jaw and distribution of elastic modules by jaw’s volume are reconstructed from a computer tomogram. The model is supplemented with virtual implants and a model of the prosthetic structure, and is passed on to the finite element suite, in which the loading and supporting conditions are specified. Biomechanical analysis and comparison of two implant placement schemes are carried out for two types of loading: one modeling biting and the other—chewing. The problem of automation of a patient-specific choice of the optimal implantation scheme is discussed taking into account the stress-strain state of the system “jaw–implants–prosthetic construction”.
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References
Chumachenko, E.N.: Prediction of possible complications in orthopedic dentistry on the basis of analysis of the stress–strain state of supporting tooth tissues. Vestn. Russ. Acad. Nat. Sci. 7(3), 42–49 (2007). (in Russian)
Sukharsky I.I.: Optimization of the surgical stage of dental implantation on the basis of computer modeling. Author’s thesis abstract MD, Moscow (2013). (in Russian)
Nobel Biocare. https://www.nobelbiocare.com/ru/ru/home/company/about-us/history.html
Liao, S.H., Tong, R.F., Dong, J.X.: Anisotropic finite element modeling for patient-specific mandible. Comput. Methods Programs Biomed. 88(3), 197–209 (2007). https://doi.org/10.1016/j.cmpb.2007.09.009
Arahira, T., Todo, M., Matsushita, Y., Koyano, K.: Biomechanical analysis of implant treatment for fully edentulous maxillas. J. Biomech.Sci. Eng. 5(5), 526–538 (2010). https://doi.org/10.1299/jbse.5.526
Chuiko, A.N., Shinchukovsky, I.A.: Biomechanics in dentistry. Fort, Kharkov (2010). (in Russian)
Chuiko, A.N., Kalinovsky, D.K., Levandovsky, R.A., Gribov, D.A.: Biomechanical support of operations in maxillofacial surgery using MIMICS and ANSYS programs. Orthop. Traumatol. Prosthet. 2, 57–63 (2012). (in Russian)
Chuiko, A.N., Ugrin, M.M.: Biomechanics and computer technologies in maxillofacial orthopedics and dental implantology. Galent, Lviv (2014). (in Russian)
Polyakova, T.V., Chumachenko, E.N., Arutyunov, S.D.: Features of mathematical modeling of a segment of the dentoalveolar system from computed tomography data. Russ. Herald. Dent. Implantol. 29(1), 7–13 (2014). (in Russian)
Polyakova, T.V., Gavryushin, S.S., Arutyunov, S.D.: Modeling the planning of placement of temporary implants for support of prototypes of bridge dentures for the period of osseointegration of two-stage dental implant. Eng. J. Sci. Innov. 12, 1–18 (2016). (in Russian)
Horita, S., Sugiura, T., Yamamoto, K., Murakami, K., Imai, Y., Kirita, T.: Biomechanical analysis of immediately loaded implants according to the “All-on-Four” concept. J. Prosthodont. Res. 61, 123–132 (2017). https://doi.org/10.1016/j.jpor
Bronstein, D.A.: Fixed prosthetics with complete absence of teeth using intraosseous implants in the frontal jaw (clinical, biomechanical and economic aspects). Author’s thesis abstract Grand MD, Moscow (2018). (in Russian)
Lan, T.H., Du, J.K., Pan, C.Y., Lee, H.E., Chung, W.H.: Biomechanical analysis of alveolar bone stress around implants with different thread designs and pitches in the mandibular molar area. Clin. Oral Invest. 16(2), 363–369 (2012). https://doi.org/10.1007/s00784-011-0517-z
Ryu, H.S., Namgung, C., Lee, J.H., Lim, Y.J.: The influence of thread geometry on implant osseointegration under immediate loading: a literature review. J. Adv. Prosthodont. 6, 547–554 (2014). https://doi.org/10.4047/jap.2014.6.6.547
Lin, C.L., Wang, J.C., Ramp, L.C., Liu, P.R.: Biomechanical response of implant systems in various areas of angulation, bone density, and loading. Int. J. Oral Maxillofac. Implants 23, 57–64 (2008)
Il’in, A.A., Kolachev, B.A., Polkin, I.S.: Titanium alloys. In: Composition, Structure, Properties. Handbook, VILS-MATI, Moscow (2009). (in Russian)
Mericske-Stern, R., Assal, P., Mericske, E., Bürgin, W.: Occlusal force and oral tactile sensibility measured in partially edentulous patients with ITI implants. Int. J. Oral Maxillofac. Implants 10, 345–353 (1995)
Obraztsov, I.F. (ed.): Problems of Strength in Biomechanics. Higher School, Moscow (1988). (in Russian)
Frost, H.M.: Skeletal structural adaptations to mechanical usage (SATMU): 1. Redefining Wolff’s law: the remodeling problem. Anat. Rec. 226, 414–422 (1990). https://doi.org/10.1002/ar.1092260402
Razi, T., Niknami, M., Ghazani, F.A.: Relationship between Hounsfield unit in CT scan and gray scale in CBCT. J. Dent. Res. Dent. Clin. Dent. Prospects 8, 107–110 (2014)
Sfeir, R.F., Julien, C.H.: Tomographic convex time-frequency analysis. Int. J. Image, Graph. Signal Process. (IJIGSP) 7(7), 33–41 (2015). https://doi.org/10.5815/ijigsp.2015.07.05
Sharma, G.T., Singh, H.: Computational approach to image segmentation analysis. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 9(7), 30–37 (2017). https://doi.org/10.5815/ijmecs.2017.07.04
Bhima, K., Jagan, A.: An improved method for automatic segmentation and accurate detection of brain tumor in multimodal MRI. Int. J. Image, Graph. Signal Process. (IJIGSP) 9(5), 1–8 (2017). https://doi.org/10.5815/ijigsp.2017.05.01
Fradi, M., Youssef, W.E., Lasaygues, P., Machhout, M.: Improved USCT of paired bones using wavelet-based image processing. Int. J. Image, Graph. Signal Process. (IJIGSP) 10(9), 1–9 (2018). https://doi.org/10.5815/ijigsp.2018.09.01
Mazurov, M.: Intelligent recognition of electrocardiograms using selective neuron networks and deep learning. In: Hu, Z., Petoukhov, S., He, M. (eds.) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol. 658, pp. 182–197. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67349-3_17
Ivaniuk, N., Ponimash, Z., Karimov, V.: Art of recognition the electromyographic signals for control of the bionic artificial limb of the hand. In: Hu, Z., Petoukhov, S., He, M. (eds.) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol. 658, pp. 176–181. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67349-3_16
Izonin, I., Trostianchyn, A., Duriagina, Z., Tkachenko, R., Tepla, T., Lotoshynska, N.: The combined use of the wiener polynomial and SVM for material classification task in medical implants production. Int. J. Intell. Syst. Appl. (IJISA) 10(9), 40–47 (2018). https://doi.org/10.5815/ijisa.2018.09.05
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The research was performed on the theme of the state assignment (state registration number AAAA-A17-117021310386-3) and with partial support of RFBR grants No. 17-08-01579 and No. 17-08-01312.
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Dashevskiy, I.N., Gribov, D.A. (2020). Patient-Specific Biomechanical Analysis in Computer Planning of Dentition Restoration with the Use of Dental Implants. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_28
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DOI: https://doi.org/10.1007/978-3-030-12082-5_28
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