Segmentation of tibia femoral bone using graph cut method and 3D rendering for FEA
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ORIGINAL RESEARCH
Segmentation of tibia femoral bone using graph cut method and 3D rendering for FEA Mahesh Kumar Agasanapura Somasundar1 Rajesh Agasanapura Somasundar3
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Bhanu Halasahalli Somashekar2
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Received: 13 November 2019 / Accepted: 29 June 2020 Ó Bharati Vidyapeeth’s Institute of Computer Applications and Management 2020
Abstract Development of a 3D model of tibia femoral bone is very important for diagnosis and treatment. Knee pain is most commonly observed problem in old age people and it is a very complex joint. Hence analysis of knee joint is very essential. Analysis can be done using 3D model and finite element model. Physical and mechanical properties of knee joint can be analyzed using Finite Element Analysis (FEA) technique. To develop 3D model segmentation process plays an important role which extracts the Region of Interest (ROI) or foreground from background image. This paper presents the graph cut method to segment tibia femoral bone from MRI/CT knee images. Also proposed algorithm illustrates the removal noise using median filter, graph cut method is used for segmenting tibia and femur bones. For volume rendering 3D model of a tibia femoral bone is created using segmented images. Finally finite element meshing is done on 3D model of tibia femoral bone to develop meshed model. This meshed model can be used for analysis and pre surgical planning of knee joint. Keywords MRI Knee joint Segmentation 3D model Finite element analysis
& Mahesh Kumar Agasanapura Somasundar [email protected] 1
PES College of Engineering, Mandya, Karnataka, India
2
Vidyavardhaka College of Engineering, Mysore, Karnataka, India
3
Maharaja Institute of Technology, Mysore, Karnataka, India
1 Introduction Segmentation is an important process for image analysis which is used to partition the image to various parts. Segmentation of tibia femoral bone is the major process for creating the 3D model and for further analysis. The proposed algorithm illustrates the segmentation and 3D rendering of tibia femoral bone for analysis. Graph cut segmentation efficiently used in many applications which effectively uses both boundary and regional details by minimizing the energy function in minimum graph cut method. Also graph cut method is classified into three categories. They are speed up based; shape prior based an interactive based segmentation [1]. Knee is a complex joint for analysis; the algorithm provides the 3D reconstruction and finite element meshing of knee joint images, mainly covering the interactive image segmentation process. The 3D model used for finite element analysis to study mechanical properties of bone [2]. Graph cut method transform the image data by kernel function with minimizing energy. This method provides an effective method for complex modeling of the original image [3]. An image is considered as graph, pixels denotes the nodes and distance between two pixels denotes edge. Advantage of this method is accurate and eases of use [4]. The femur bone is studied by finding natural frequen
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