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A novel 2D/3D hierarchical registration framework via principal-directional Fourier transform operator
Yang KK(杨克克)1,2,3; Luo Y(罗阳)1,2; Zhao YW(赵忆文)1,2; Su S(苏顺)1,2,3; Qu DY(屈丹阳)1,2,3; Zhao XG(赵新刚)1,2; Song GL(宋国立)1,2,4
Department机器人学研究室
Source PublicationPHYSICS IN MEDICINE AND BIOLOGY
ISSN0031-9155
2021
Volume66Issue:6Pages:1-19
Indexed BySCI ; EI
EI Accession number20211410176657
WOS IDWOS:000629944200001
Contribution Rank1
Funding OrganizationNational Key R&D Program of China [2017YFB1303003] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [62073314, 61821005] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences [2019205] ; Special Fund for High-level Talents (Shizhen Zhong Team) of the People's Government of Luzhou Southwestern Medical University ; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2020M670815] ; [GQRC-19-20]
Keyword2D/3D registration Fourier transform operator principal direction registration framework
Abstract

An effective registration framework between preoperative 3D computed tomography and intraoperative 2D x-ray images is crucial in image-guided therapy. In this paper, a novel 2D/3D hierarchical registration framework via principal-directional Fourier transform operator (HRF-PDFTO) is proposed. First, a PDFTO was established to obtain the in-plane translation and rotation invariance. Then, an initial free template-matching approach based on PDFTO was utilized to avoid initial value assignment and expand the capture range of registration. Finally, the hierarchical registration framework, HRF-PDFTO, was proposed to reduce the dimensions of the registration search space from n(6) to n(2). The experimental results demonstrated that the proposed HRF-PDFTO has good performance with an accuracy of 0.72 mm, and a single registration time of 16 s, which improves the registration efficiency by ten times. Consequently, the HRF-PDFTO can meet the accuracy and efficiency requirements of 2D/3D registration in related clinical applications.

Language英语
WOS SubjectEngineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS Research AreaEngineering ; Radiology, Nuclear Medicine & Medical Imaging
Funding ProjectNational Key R&D Program of China[2017YFB1303003] ; National Natural Science Foundation of China[62073314] ; National Natural Science Foundation of China[61821005] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2019205] ; Special Fund for High-level Talents (Shizhen Zhong Team) of the People's Government of Luzhou Southwestern Medical University ; China Postdoctoral Science Foundation[2020M670815] ; [GQRC-19-20]
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/28711
Collection机器人学研究室
Corresponding AuthorSong GL(宋国立)
Affiliation1.The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.The Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
3.University of Chinese Academy of Science, Beijing 100049, China
4.The Liaoning Medical Surgery and Rehabilitation Robot Engineering Research Center, Shenyang 110134, China
Recommended Citation
GB/T 7714
Yang KK,Luo Y,Zhao YW,et al. A novel 2D/3D hierarchical registration framework via principal-directional Fourier transform operator[J]. PHYSICS IN MEDICINE AND BIOLOGY,2021,66(6):1-19.
APA Yang KK.,Luo Y.,Zhao YW.,Su S.,Qu DY.,...&Song GL.(2021).A novel 2D/3D hierarchical registration framework via principal-directional Fourier transform operator.PHYSICS IN MEDICINE AND BIOLOGY,66(6),1-19.
MLA Yang KK,et al."A novel 2D/3D hierarchical registration framework via principal-directional Fourier transform operator".PHYSICS IN MEDICINE AND BIOLOGY 66.6(2021):1-19.
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