Registration of 2D C-Arm and 3D CT Images for a C-Arm Image-Assisted Navigation System for Spinal Surgery

NCUIR > Engineering College > Departmant of Mechanical Engineering > journal & Dissertation > Item 987654321/109034

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/109034

Title:	Registration of 2D C-Arm and 3D CT Images for a C-Arm Image-Assisted Navigation System for Spinal Surgery
Authors:	曾清秀;Chu, Hong-Yu;Tse, Alex;Lin, Geng-Li;Chang, Chih-Ju;Tseng, Ching-Shiow
Contributors:	工學院機械工程學系
Date:	2015-01-01
Issue Date:	2026-04-23 15:25:58 (UTC+8)
Publisher:	Hindawi Limited;Cairo, Egypt: Hindawi Publishing Corporation
Abstract:	摘要： C-Arm image-assisted surgical navigation system has been broadly applied to spinal surgery. However, accurate path planning on the C-Arm AP-view image is difficult. This research studies 2D-3D image registration methods to obtain the optimum transformation matrix between C-Arm and CT image frames. Through the transformation matrix, the surgical path planned on preoperative CT images can be transformed and displayed on the C-Arm images for surgical guidance. The positions of surgical instruments will also be displayed on both CT and C-Arm in the real time. Five similarity measure methods of 2D-3D image registration including Normalized Cross-Correlation, Gradient Correlation, Pattern Intensity, Gradient Difference Correlation, and Mutual Information combined with three optimization methods including Powell’s method, Downhill simplex algorithm, and genetic algorithm are applied to evaluate their performance in converge range, efficiency, and accuracy. Experimental results show that the combination of Normalized Cross-Correlation measure method with Downhill simplex algorithm obtains maximum correlation and similarity in C-Arm and Digital Reconstructed Radiograph (DRR) images. Spine saw bones are used in the experiment to evaluate 2D-3D image registration accuracy. The average error in displacement is 0.22 mm. The success rate is approximately 90% and average registration time takes 16 seconds. 其他題名： Appl Bionics Biomech 出版者： Cairo, Egypt: Hindawi Publishing Corporation 出版日期： 2015-01-01 出處： Applied Bionics and Biomechanics, 2015-01, Vol.2015 (2015), p.1-9 資源來源： Publicly available content database 版權： Copyright © 2015 Chih-Ju Chang et al. 版權： Copyright © 2015 Chih-Ju Chang et al. 2015 識別號： ISSN: 1176-2322 識別號： ISSN: 1754-2103 識別號： EISSN: 1754-2103 識別號： DOI: 10.1155/2015/478062 識別號： PMID: 27018859
Appears in Collections:	[Departmant of Mechanical Engineering ] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	12	View/Open

社群 sharing

Loading...