Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm
Multimodality image registration and fusion has complementary significance for guiding dental implant surgery. As the needs of the different resolution image registration, we develop an improved Iterative Closest Point (ICP) algorithm that focuses on the registration of Cone Beam Computed Tomography...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2014/348740 |
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| _version_ | 1850227228252569600 |
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| author | Xue Mei Zhenhua Li Songsong Xu Xiaoyan Guo |
| author_facet | Xue Mei Zhenhua Li Songsong Xu Xiaoyan Guo |
| author_sort | Xue Mei |
| collection | DOAJ |
| description | Multimodality image registration and fusion has complementary significance for guiding dental implant surgery. As the needs of the different resolution image registration, we develop an improved Iterative Closest Point (ICP) algorithm that focuses on the registration of Cone Beam Computed Tomography (CT) image and high-resolution Blue-light scanner image. The proposed algorithm includes two major phases, coarse and precise registration. Firstly, for reducing the matching interference of human subjective factors, we extract feature points based on curvature characteristics and use the improved three point’s translational transformation method to realize coarse registration. Then, the feature point set and reference point set, obtained by the initial registered transformation, are processed in the precise registration step. Even with the unsatisfactory initial values, this two steps registration method can guarantee the global convergence and the convergence precision. Experimental results demonstrate that the method has successfully realized the registration of the Cone Beam CT dental model and the blue-ray scanner model with higher accuracy. So the method could provide researching foundation for the relevant software development in terms of the registration of multi-modality medical data. |
| format | Article |
| id | doaj-art-516bee271e7142b1b6846dc7d4878d2f |
| institution | OA Journals |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-516bee271e7142b1b6846dc7d4878d2f2025-08-20T02:04:54ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962014-01-01201410.1155/2014/348740348740Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP AlgorithmXue Mei0Zhenhua Li1Songsong Xu2Xiaoyan Guo3Automation & Electrical Engineering School, Nanjing University of Technology, Nanjing, Jiangsu 211816, ChinaAutomation & Electrical Engineering School, Nanjing University of Technology, Nanjing, Jiangsu 211816, ChinaAutomation & Electrical Engineering School, Nanjing University of Technology, Nanjing, Jiangsu 211816, ChinaAutomation & Electrical Engineering School, Nanjing University of Technology, Nanjing, Jiangsu 211816, ChinaMultimodality image registration and fusion has complementary significance for guiding dental implant surgery. As the needs of the different resolution image registration, we develop an improved Iterative Closest Point (ICP) algorithm that focuses on the registration of Cone Beam Computed Tomography (CT) image and high-resolution Blue-light scanner image. The proposed algorithm includes two major phases, coarse and precise registration. Firstly, for reducing the matching interference of human subjective factors, we extract feature points based on curvature characteristics and use the improved three point’s translational transformation method to realize coarse registration. Then, the feature point set and reference point set, obtained by the initial registered transformation, are processed in the precise registration step. Even with the unsatisfactory initial values, this two steps registration method can guarantee the global convergence and the convergence precision. Experimental results demonstrate that the method has successfully realized the registration of the Cone Beam CT dental model and the blue-ray scanner model with higher accuracy. So the method could provide researching foundation for the relevant software development in terms of the registration of multi-modality medical data.http://dx.doi.org/10.1155/2014/348740 |
| spellingShingle | Xue Mei Zhenhua Li Songsong Xu Xiaoyan Guo Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm International Journal of Biomedical Imaging |
| title | Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm |
| title_full | Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm |
| title_fullStr | Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm |
| title_full_unstemmed | Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm |
| title_short | Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm |
| title_sort | registration of the cone beam ct and blue ray scanned dental model based on the improved icp algorithm |
| url | http://dx.doi.org/10.1155/2014/348740 |
| work_keys_str_mv | AT xuemei registrationoftheconebeamctandbluerayscanneddentalmodelbasedontheimprovedicpalgorithm AT zhenhuali registrationoftheconebeamctandbluerayscanneddentalmodelbasedontheimprovedicpalgorithm AT songsongxu registrationoftheconebeamctandbluerayscanneddentalmodelbasedontheimprovedicpalgorithm AT xiaoyanguo registrationoftheconebeamctandbluerayscanneddentalmodelbasedontheimprovedicpalgorithm |