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Robust and Fast Initialization for Intensity-Based 2D/3D Registration
Shao ZZ(邵振洲); Han JD(韩建达); Liang W(梁炜); Tan JD(谈金东); Guan, Yong
Department机器人学研究室
Source PublicationADVANCES IN MECHANICAL ENGINEERING
ISSN1687-8132
2014
Volume2014Pages:1-12
Indexed BySCI
WOS IDWOS:000340112800001
Contribution Rank2
Funding OrganizationScientific Research Base Project of Beijing Municipal Commission of Education [TJSHG201310028014]
AbstractIntensity-based 2D/3D registration is a key technique using digitally reconstructed radiographs (DRRs) to register the preoperative volume to the patient setup during the operation. Although DRR-based method provides a high accuracy, the small capture range hinders its clinical use. In this paper, such problem was addressed by a robust and fast initialization method using a two-level scheme including automatic tracking-based initialization (Level I) and multiresolution estimation based on central-slice theorem and phase correlation (Level II). It provided almost optimal transformation parameters for intensity-based registration. Experiments using a public gold standard data set and a spinal phantom have been conducted. The mean target registration error (mTRE) was limited in the range from 2.12 mm to 22.57 mm after tracking-based initialization. The capture range based on level II only was 20.1 mm and the mTRE in this capture range was 2.92 +/- 2.21 mm. The intensity-based 2D/3D registration using proposed two-level initialization achieved the successful rate of 84.8% with the average error of 2.36 mm. The experimental results showed that the proposed method yielded the robust and fast initialization for intensity-based registration methods. In a similar way, it can be applied to other registration methods to enable a larger capture range and robust implementation.
Language英语
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
WOS SubjectThermodynamics ; Engineering, Mechanical
WOS KeywordIMAGE-GUIDED INTERVENTIONS ; FLUOROSCOPIC X-RAY ; CT ; ALGORITHM ; TRACKING ; STRATEGY ; SYSTEM
WOS Research AreaThermodynamics ; Engineering
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15265
Collection机器人学研究室
Corresponding AuthorShao ZZ(邵振洲)
Affiliation1.College of Information Engineering, Capital Normal University, Beijing 100048, China
2.Department of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, TN 37996, USA
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Shao ZZ,Han JD,Liang W,et al. Robust and Fast Initialization for Intensity-Based 2D/3D Registration[J]. ADVANCES IN MECHANICAL ENGINEERING,2014,2014:1-12.
APA Shao ZZ,Han JD,Liang W,Tan JD,&Guan, Yong.(2014).Robust and Fast Initialization for Intensity-Based 2D/3D Registration.ADVANCES IN MECHANICAL ENGINEERING,2014,1-12.
MLA Shao ZZ,et al."Robust and Fast Initialization for Intensity-Based 2D/3D Registration".ADVANCES IN MECHANICAL ENGINEERING 2014(2014):1-12.
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