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The Scientific World Journal
Volume 2014, Article ID 235858, 11 pages
http://dx.doi.org/10.1155/2014/235858
Research Article

Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction

1Department of Computer Science and Engineering, Korea University of Technology and Education, 330-708 Cheonan, Republic of Korea
2Department of Orthopaedic Surgery, Hallym University, 446-907 Dongtan, Republic of Korea

Received 7 June 2014; Accepted 4 September 2014; Published 27 November 2014

Academic Editor: Patricia Melin

Copyright © 2014 Seong-Wook Jang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The demand for an accurate and accessible image segmentation to generate 3D models from CT scan data has been increasing as such models are required in many areas of orthopedics. In this paper, to find the optimal image segmentation to create a 3D model of the knee CT data, we compared and validated segmentation algorithms based on both objective comparisons and finite element (FE) analysis. For comparison purposes, we used 1 model reconstructed in accordance with the instructions of a clinical professional and 3 models reconstructed using image processing algorithms (Sobel operator, Laplacian of Gaussian operator, and Canny edge detection). Comparison was performed by inspecting intermodel morphological deviations with the iterative closest point (ICP) algorithm, and FE analysis was performed to examine the effects of the segmentation algorithm on the results of the knee joint movement analysis.