title: Computed tomographic image analysis based on FEM performance comparison of segmentation on knee joint reconstruction.
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.
authors.affiliation: Department of Computer Science and Engineering, Korea University of Technology and Education, 330-708 Cheonan, Republic of Korea.
authors.forename: Seong-Wook
authors.initials: SW
authors.lastname: Jang
authors.affiliation: Department of Orthopaedic Surgery, Hallym University, 446-907 Dongtan, Republic of Korea.
authors.forename: Young-Jin
authors.initials: YJ
authors.lastname: Seo
authors.affiliation: Department of Orthopaedic Surgery, Hallym University, 446-907 Dongtan, Republic of Korea.
authors.forename: Yon-Sik
authors.initials: YS
authors.lastname: Yoo
authors.affiliation: Department of Computer Science and Engineering, Korea University of Technology and Education, 330-708 Cheonan, Republic of Korea.
authors.forename: Yoon Sang
authors.identifier: 0000-0002-0416-7938
authors.initials: YS
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007719:Knee Joint / Q000000981:diagnostic imaging / Q000502:physiology; D008297:Male; D008962:Models, Theoretical; D009068:Movement / Q000502:physiology*; D014057:Tomography, X-Ray Computed