doiSerbia

Software system for creation of human femur customized polygonal models

Vitković Nikola (Faculty of Mechanical Engineering, Niš)
Milovanović Jelena (Faculty of Mechanical Engineering, Niš)
Korunović Nikola (Faculty of Mechanical Engineering, Niš)
Trajanović Miroslav (Faculty of Mechanical Engineering, Niš)
Stojković Miloš (Faculty of Mechanical Engineering, Niš)
Mišić Dragan (Faculty of Mechanical Engineering, Niš)
Arsić Stojanka (Faculty of Medicine, Niš)

Geometrically accurate and anatomically correct threedimensional geometric models of human bones or bone sections are essential for successful pre-operative planning in orthopedic surgery. For such purposes, 3D polygonal models of bones are usually created based on Computer Tomography (CT) or Magnetic Resonance Imaging (MRI) data. In cases where there is no CT or MRI scan, or part of bone is missing, such three-dimensional polygonal models are difficult to create. In these situations predictive bone models are commonly used. In this paper, the authors describe the developed a software system for creation of Human Bones Customized Polygonal models (HBCP) which is based on the use of the predictive parametric bone model. The software system enables creation of patient-specific polygonal models of bones, by using only a limited number of parameter values. Parameter values can be acquired from volumetric medical imaging methods (CT, MRI), or from two-dimensional imaging methods (i.e. Xray). This paper introduces the new approach to the process of creation of human bones geometrical models which are based on the anatomical landmark points. Testing of the HBCP for the cases of femur bone samples has shown that created bone and bone region models are characterized by a good level of anatomical and morphometric accuracy compared to the results presented in similar researches.

Keywords: femur, parametric model, reverse engineering, software system, polygonal model

Projekat Ministarstva nauke Republike Srbije, br. III 41017: Virtual Human Osteoarticular System and its Application in Preclinical and Clinical Practice