3D ultrasound navigation system for screw insertion in posterior spine surgery: a phantom study

成像体模 医学 三维超声 超声波 椎骨 导航系统 脊柱侧凸 方向(向量空间) 脊柱融合术 放射科 计算机科学 外科 人工智能 几何学 数学
作者
Andrew Chan,Éric Parent,J.K. Mahood,Edmond Lou
出处
期刊:International Journal of Computer Assisted Radiology and Surgery [Springer Science+Business Media]
卷期号:17 (2): 271-281 被引量:11
标识
DOI:10.1007/s11548-021-02516-9
摘要

Posterior spinal fusion surgery is required to correct severe idiopathic scoliosis. The surgery involves insertion of screws which requires high accuracy to prevent neurologic damage to the spinal cord. Although conventional CT navigation can reduce this risk, 3D-ultrasound-based navigation could achieve this without added ionizing radiation and usage of expensive and bulky equipment. This study aimed to evaluate the accuracy of a 3D ultrasound navigation system for posterior spine surgery.A custom 3D ultrasound (3DUS) with model-to-surface registration algorithm was developed and integrated into a 3D navigation environment. A CT scan of an adolescent spine (T3-T11) was segmented and 3D printed for experiments. A probe with reflective markers was placed in vertebral pedicles 684 times in varying levels, positions in the capture space and orientation of vertebra, and the entrypoint and trajectory accuracies were measured.Among 684 probe placements in vertebral levels T3 to T11 in the phantom spine, 95.5% were within 1 mm and 5° of accuracy, with an average accuracy of 0.4 ± 0.4 mm and 2.1 ± 0.9°, requiring 8.8 s to process. Accuracies were statistically significantly affected by vertebral orientation and position in the capture volume, though this was still within the targeted accuracies of 1 mm and 5°.This preliminary ultrasound-based navigation system is accurate and fast enough for guiding placement of pedicle screws into the spine in posterior fusion surgery. The current results are limited to phantom spines, and future study in animal or human cadavers is needed to investigate soft tissue effects on registration accuracy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cdercder应助StevenZhao采纳,获得10
1秒前
zyx完成签到 ,获得积分10
1秒前
Haydeehu完成签到,获得积分10
3秒前
水瓶鱼完成签到,获得积分0
5秒前
坦率尔琴完成签到,获得积分10
5秒前
8秒前
Owen应助欢喜的代容采纳,获得10
8秒前
皓轩完成签到 ,获得积分10
9秒前
尘弦完成签到 ,获得积分10
9秒前
美好斓发布了新的文献求助30
10秒前
11秒前
鸽子的迷信完成签到,获得积分10
11秒前
科研三井泽完成签到,获得积分10
12秒前
13秒前
石头完成签到,获得积分10
15秒前
jjjjchou完成签到,获得积分10
17秒前
小胖子完成签到 ,获得积分10
18秒前
wsy完成签到,获得积分10
21秒前
Slence完成签到,获得积分10
21秒前
共享精神应助火星上冬亦采纳,获得10
22秒前
犹豫野狼完成签到 ,获得积分10
22秒前
时光完成签到,获得积分10
23秒前
暴躁小鸟完成签到,获得积分10
23秒前
24秒前
缓慢雅青完成签到 ,获得积分10
29秒前
31秒前
左友铭完成签到 ,获得积分10
33秒前
笨笨凡松完成签到,获得积分10
34秒前
Orange应助畅快的幻柏采纳,获得10
37秒前
nan完成签到,获得积分10
37秒前
机智大有完成签到,获得积分10
38秒前
东方越彬发布了新的文献求助20
38秒前
38秒前
智慧金刚完成签到 ,获得积分10
40秒前
Dailei完成签到,获得积分10
40秒前
如初完成签到,获得积分10
41秒前
starwan完成签到 ,获得积分10
43秒前
小红完成签到,获得积分20
53秒前
pengpeng完成签到,获得积分10
54秒前
考博圣体完成签到 ,获得积分10
54秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3736779
求助须知:如何正确求助?哪些是违规求助? 3280670
关于积分的说明 10020421
捐赠科研通 2997407
什么是DOI,文献DOI怎么找? 1644533
邀请新用户注册赠送积分活动 782083
科研通“疑难数据库(出版商)”最低求助积分说明 749656