The Parametric Model of the Human Mandible Coronoid Process Created by Method of Anatomical Features

Author:

Vitković Nikola1,Mitić Jelena1,Manić Miodrag1,Trajanović Miroslav1,Husain Karim2,Petrović Slađana3,Arsić Stojanka3

Affiliation:

1. Faculty оf Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia

2. University of Qadisiya, Diwaniya, Iraq

3. Faculty of Medicine, University of Niš, Dr. Zorana Đinđića 81 Boulevard, 18000 Niš, Serbia

Abstract

Geometrically accurate and anatomically correct 3D models of the human bones are of great importance for medical research and practice in orthopedics and surgery. These geometrical models can be created by the use of techniques which can be based on input geometrical data acquired from volumetric methods of scanning (e.g., Computed Tomography (CT)) or on the 2D images (e.g., X-ray). Geometrical models of human bones created in such way can be applied for education of medical practitioners, preoperative planning, etc. In cases when geometrical data about the human bone is incomplete (e.g., fractures), it may be necessary to create its complete geometrical model. The possible solution for this problem is the application of parametric models. The geometry of these models can be changed and adapted to the specific patient based on the values of parameters acquired from medical images (e.g., X-ray). In this paper, Method of Anatomical Features (MAF) which enables creation of geometrically precise and anatomically accurate geometrical models of the human bones is implemented for the creation of the parametric model of the Human Mandible Coronoid Process (HMCP). The obtained results about geometrical accuracy of the model are quite satisfactory, as it is stated by the medical practitioners and confirmed in the literature.

Funder

Ministry of Science and Technology of the Republic of Serbia

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine

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