Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction
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...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/235858 |
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| author | Seong-Wook Jang Young-Jin Seo Yon-Sik Yoo Yoon Sang Kim |
| author_facet | Seong-Wook Jang Young-Jin Seo Yon-Sik Yoo Yoon Sang Kim |
| author_sort | Seong-Wook Jang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-83dc90b1fdb24834b86c73885c793909 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-83dc90b1fdb24834b86c73885c7939092025-02-03T01:30:35ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/235858235858Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint ReconstructionSeong-Wook Jang0Young-Jin Seo1Yon-Sik Yoo2Yoon Sang Kim3Department of Computer Science and Engineering, Korea University of Technology and Education, 330-708 Cheonan, Republic of KoreaDepartment of Orthopaedic Surgery, Hallym University, 446-907 Dongtan, Republic of KoreaDepartment of Orthopaedic Surgery, Hallym University, 446-907 Dongtan, Republic of KoreaDepartment of Computer Science and Engineering, Korea University of Technology and Education, 330-708 Cheonan, Republic of KoreaThe 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.http://dx.doi.org/10.1155/2014/235858 |
| spellingShingle | Seong-Wook Jang Young-Jin Seo Yon-Sik Yoo Yoon Sang Kim Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction The Scientific World Journal |
| title | Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction |
| title_full | Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction |
| title_fullStr | Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction |
| title_full_unstemmed | Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction |
| title_short | Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction |
| title_sort | computed tomographic image analysis based on fem performance comparison of segmentation on knee joint reconstruction |
| url | http://dx.doi.org/10.1155/2014/235858 |
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