Software system for creation of human femur customized polygonal models

Abstract

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.

3d point cloud model of human bio form created by the application of geometric morphometrics and method of anatomical features: human tibia example

“…The techniques presented in this research are part of the Method of Anatomical Features (MAF) which introduces a new approach to describe geometrical entities of human bones, and it enables creation of various geometrical models of the human bones. MAF method has already been presented in previous researches [7,10,11], but in this research method is revised, improved, and extended by the application of novel techniques defined in this study. MAF is a complex method, and because of that, Structured Analysis and Design Technique (SADT) [17] is used for its the description.…”

“…They can be created by the application of various techniques (Direct modeling, Parametric modeling, etc.) which are generally known and presented in [6][7][8][9][10][11][12]. Accurate 3D models of human bones are in the majority of cases created on the basis of the geometrical data acquired from the three-dimensional medical scanning devices (like Computer Tomography CT, 3D Ultrasound), or on the basis of two or more 2D images from two-dimensional scanning devices (X-ray or Ultrasound) [8][9][10][11][12][13].…”

“…Geometric entities of predictive models are described by parametric functions, whose arguments are morphometric parameters that can be acquired and measured from medical images. In order to create such models various statistical and numerical methods can be used as described in [7,[10][11][12]. Morphometric parameters are dimensional values which are defined in field of medical morphometrics and they are essential for the successful application of predictive models.…”

“…This method is not capable of capturing shape changes inside an object, but it can be used together with landmark morphometrics to overcome this issue [15]. This research extends and implements both morphometric techniques (landmark and outline) for the creation of the 3D parametric point cloud model for the specific bone or bone part, which can be personalized to the specific patient, by using morphometric parameters defined by traditional morphometrics, and in-house developed Method of Anatomical Features (MAF) [7,10,11]. Possibility to recreate missing part of the bone or to define plate implant shape before surgery is of great importance for CAOS, and for the patient successful recovery.…”

Bioengineering and tire design related research at LIPS laboratory: A summary of results

“…In these situations predictive bone models are commonly used. In paper by Vitković et al (2013), a software system for creation of Human Bones Customized Polygonal models (HBCP) is presented, which is based on the use of the predictive parametric bone model (Fig. 5).…”