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题名:
Robust and Fast Initialization for Intensity-Based 2D/3D Registration
作者: Shao ZZ(邵振洲); Han JD(韩建达); Liang W(梁炜); Tan JD(谈金东); Guan, Yong
作者部门: 机器人学研究室
通讯作者: 邵振洲
刊名: ADVANCES IN MECHANICAL ENGINEERING
ISSN号: 1687-8132
出版日期: 2014
卷号: 2014, 页码:1-12
收录类别: SCI
WOS记录号: WOS:000340112800001
产权排序: 2
摘要: Intensity-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.
语种: 英语
WOS标题词: Science & Technology ; Physical Sciences ; Technology
类目[WOS]: Thermodynamics ; Engineering, Mechanical
关键词[WOS]: IMAGE-GUIDED INTERVENTIONS ; FLUOROSCOPIC X-RAY ; CT ; ALGORITHM ; TRACKING ; STRATEGY ; SYSTEM
研究领域[WOS]: Thermodynamics ; Engineering
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/15265
Appears in Collections:机器人学研究室_期刊论文

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作者单位: 1.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:
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.
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