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:10
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.
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
刚刚
itachi完成签到,获得积分10
刚刚
JamesPei应助genghailun采纳,获得10
1秒前
zz完成签到,获得积分10
1秒前
wangbo发布了新的文献求助30
1秒前
斯文傲芙完成签到,获得积分10
3秒前
酷波er应助高大颜演采纳,获得10
3秒前
ENEN完成签到,获得积分20
4秒前
太叔岱周发布了新的文献求助10
6秒前
kejinyang完成签到,获得积分10
6秒前
思源应助可靠衬衫采纳,获得10
7秒前
7秒前
彩虹应助可靠衬衫采纳,获得10
7秒前
英姑应助可靠衬衫采纳,获得10
8秒前
9秒前
初景应助雾非雾采纳,获得20
9秒前
9秒前
10秒前
11秒前
lan发布了新的文献求助20
12秒前
科目三应助开心饼干采纳,获得10
12秒前
yyds发布了新的文献求助30
13秒前
乐乐应助帅哥采纳,获得10
13秒前
温柔樱桃发布了新的文献求助10
13秒前
用户发布了新的文献求助10
15秒前
iiiroyy完成签到,获得积分10
16秒前
haoyunlai发布了新的文献求助10
16秒前
完美世界应助tsuki采纳,获得10
17秒前
孟辰凡发布了新的文献求助10
18秒前
grace2026应助mac采纳,获得50
18秒前
19秒前
20秒前
dxftx应助仙人掌采纳,获得10
20秒前
23秒前
萧a发布了新的文献求助10
24秒前
25秒前
25秒前
26秒前
高大颜演发布了新的文献求助10
27秒前
akihi完成签到,获得积分10
28秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7256108
求助须知:如何正确求助?哪些是违规求助? 8878243
关于积分的说明 18750650
捐赠科研通 6936353
什么是DOI,文献DOI怎么找? 3200710
关于科研通互助平台的介绍 2374970
邀请新用户注册赠送积分活动 2176279