A System for Reproducible 3D Ultrasound Measurements of Skeletal Muscles

三维超声 成像体模 超声波 计算机科学 生物医学工程 计算机视觉 人工智能 医学 核医学 放射科
作者
Annika S. Sahrmann,Geoffrey G. Handsfield,Leonardo Gizzi,Jenin Gerlach,Alexander Verl,Thor F. Besier,Oliver Röhrle
出处
期刊:IEEE Transactions on Biomedical Engineering [Institute of Electrical and Electronics Engineers]
卷期号:71 (7): 2022-2032 被引量:2
标识
DOI:10.1109/tbme.2024.3359854
摘要

In 3D freehand ultrasound imaging, operator dependent variations in applied forces and movements can lead to errors in the reconstructed images. In this paper, we introduce an automated 3D ultrasound system, which enables acquisitions with controlled movement trajectories by using motors, which electrically move the probe. Due to integrated encoders there is no need of position sensors. An included force control mechanism ensures a constant contact force to the skin. We conducted 8 trials with the automated 3D ultrasound system on 2 different phantoms with 3 force settings and 10 trials on a human tibialis anterior muscle with 2 force settings. For comparison, we also conducted 8 freehand 3D ultrasound scans from 2 operators (4 force settings) on one phantom and 10 with one operator on the tibialis anterior muscle. Both freehand and automated trials showed small errors in volume and length computations of the reconstructions, however the freehand trials showed larger standard deviations. We also computed the thickness of the phantom and the tibialis anterior muscle. We found significant differences in force settings for the operators and higher coefficients of variation for the freehand trials. Overall, the automated 3D ultrasound system shows a high accuracy in reconstruction. Due to the smaller coefficients of variation, the automated 3D ultrasound system enables more reproducible ultrasound examinations than the freehand scanning. Therefore, the automated 3D ultrasound system is a reliable tool for 3D investigations of skeletal muscle.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
充电宝应助毛头侠采纳,获得10
1秒前
852应助木日采纳,获得10
1秒前
curtisness应助ruanyh采纳,获得20
2秒前
3秒前
简单的笑蓝完成签到 ,获得积分10
3秒前
纯简发布了新的文献求助10
5秒前
5秒前
泡沫发布了新的文献求助10
5秒前
LH完成签到 ,获得积分10
5秒前
6秒前
6秒前
gaobowang发布了新的文献求助10
7秒前
7秒前
7秒前
领导范儿应助科研通管家采纳,获得10
8秒前
无花果应助科研通管家采纳,获得10
8秒前
丘比特应助科研通管家采纳,获得10
8秒前
隐形曼青应助科研通管家采纳,获得10
8秒前
赘婿应助科研通管家采纳,获得10
8秒前
英俊的铭应助科研通管家采纳,获得30
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
舒适涵山完成签到,获得积分10
8秒前
香蕉觅云应助小趴菜采纳,获得10
10秒前
二月兰完成签到 ,获得积分10
10秒前
11秒前
Electra发布了新的文献求助10
11秒前
qxxx完成签到,获得积分20
11秒前
lw发布了新的文献求助10
11秒前
Singularity举报爱学习的YY求助涉嫌违规
12秒前
拼搏灵安发布了新的文献求助10
12秒前
执着夏山完成签到,获得积分10
14秒前
14秒前
乐乐应助myq采纳,获得10
15秒前
16秒前
Alice完成签到,获得积分10
17秒前
Electra完成签到,获得积分10
17秒前
爆米花应助lw采纳,获得10
17秒前
魏蒙发布了新的文献求助10
18秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Wirkstoffdesign 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3129103
求助须知:如何正确求助?哪些是违规求助? 2779953
关于积分的说明 7745314
捐赠科研通 2435069
什么是DOI,文献DOI怎么找? 1293897
科研通“疑难数据库(出版商)”最低求助积分说明 623472
版权声明 600542