[张贴报告]Optimal Pedicle Screw Path Planning from Multi-directional Projections - 报告详情

Optimal Pedicle Screw Path Planning from Multi-directional Projections
编号:108 稿件编号:64 访问权限:仅限参会人 更新:2021-10-30 22:38:36 浏览:661次 张贴报告

报告开始:2021年11月14日 19:10 (Asia/Shanghai)

报告时间:25min

所在会议:[PS1] Plenary Session 1 [CT1] Workshop on CT

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摘要

Spinal pedicle screw placement is a common method to treat various spinal diseases, such as traumas, tumors, deformities and degenerative illness, but improper screw placement can lead to serious complications. The accuracy of pedicle screw fixation assisted by a robotic system is better than that of manual procedures under fluoroscopy guidance. However, to enable an image-guided robotic surgery we need to plan screw path at pre-surgical. In this paper, we propose a multi-directional reconstruction approach for screw path planning. An optimal screw path in a projected pedicle image is estimated first. Then, the 3D path is a reconstruction from the paths in the projections from multiple directions. Our test results show that the mean angle deviation is (mean ± standard deviation) 4.48±0.21°, the maximum point-to-point deviation distance is 2.40±0.10mm which is located at P1 and the mean value of the minimum deviation distance is 0.96±0.05mm which is located at P12. The mean value of the maximum tolerance difference is -0.0022mm±0.04mm, which indicates that the value of calculated trajectories is slightly better than the value of the trajectories by the doctors. These results were also confirmed to be within acceptable range by the doctors.

关键字
Pedicle screw placement, 3D path planning, multi-directional projections
报告人
Yunxian Zhang
Capital Medical University

稿件作者
Yunxian Zhang Capital Medical University
Jingwei Zhao Beijing Jishuitan Hospital
Dan Wang Capital Medical University
Yumeng Zhang Capital Medical University
Fan Peng Capital Medical University
Shangqi Cui Capital Medical University
Da He Beijing Jishuitan Hospital
Bo Liu Beijing Jishuitan Hospital
Zhi Yang Capital Medical University
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重要日期

摘要提交日期:

2021/08/31

2021/10/25

全文投稿日期:  

2021/09/15

2021/10/25

录取通知日期: 

2021/09/30

2021/11/01

会议日期:   2021-11-12-2021-11-14

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