DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-6, Issue-3 ( Jul, 2018 ) | |||||||||
Paper Title |
Development of Novel Iterative Closest Point (ICP) Algorithm for Surface Registration of Surgical Navigation System | |||||||||
Author Name |
Hakje Yoo, Taeyong Sim, Dongjunlee, Yechan Cho, , Ahnryul Choi, Joung Hwan Mun | |||||||||
Affilition |
Department of Bio-Mechatronic Engineering, College of Biotechnology and Bioengineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, 16419, Republic of Korea Department of Biomedical Engineering, College of Medical Convergence, Catholic Kwandong University, 579 Beomil-ro, Gangneung 25601, Republic of Korea | |||||||||
Pages |
51-56 | |||||||||
Abstract |
The purpose of this study was to improve the surface registration accuracy by improving the ICP algorithm used for surface registration. In order to improve registration accuracy, the nearest CT data corresponding with the optical data was searched by the k-NN algorithm (k = 2…7). A plane or vector was created using the selected CT data and the optical point data was projected onto the plane or vector to generate new CT point. As a result of the analysis, the registration accuracy of Improved ICP algorithm was higher than that of the ICP algorithm. Keywords - Surface registration, target registration error, k-nearest neighbor, projection | |||||||||
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