Evaluation of the influences of various force magnitudes and configurations on scoliotic curve correction using finite element analysis

脊柱侧凸 曲率 有限元法 柯布角 口腔正畸科 计算机科学 结构工程 数学 医学 几何学 工程类 外科
作者
Mohammad Taghi Karimi,Mohammadhossein Ebrahimi,Ali Mohammadi,Anthony McGarry
出处
期刊:Australasian Physical & Engineering Sciences in Medicine [Springer Science+Business Media]
卷期号:40 (1): 231-236 被引量:7
标识
DOI:10.1007/s13246-016-0501-7
摘要

Scoliosis is a lateral curvature in the normally straight vertical line of the spine, and the curvature can be moderate to severe. Different treatment can be used based on severity and age of subjects, but most common treatment for this disease is using orthosis. To design orthosis types of force arrangement can be varied, from transverse loads to vertical loads or combination of them. But it is not well introduced how orthoses control scoliotic curve and how to achieve the maximum correction based on force configurations and magnitude. Therefore, it was aimed to determine the effect of various loads configurations and magnitudes on curve correction of a degenerative scoliotic subject. A scoliotic subject participated in this study. The CT-Scan of the subject was used to produce 3D model of spine. The 3D model of spine was produced by Mimics software and the finite element analysis and deformation of scoliotic curve of the spine under seven different forces and in three different conditions was determined by ABAQUS software. The Cobb angle in scoliosis curve decreased significantly by applying forces. In each condition depends on different forces, different corrections have been achieved. It can be concluded that the configurations of the force application mentioned in this study is effective to decrease the scoliosis curve. Although it is a case study, it can be used for a vast number of subjects to predict the correction of scoliosis curve before orthotic treatment. Moreover, it is recommended that this method and the outputs can be compared with clinical findings.

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
teng发布了新的文献求助10
刚刚
Jasper应助背后艳采纳,获得10
1秒前
李狗蛋完成签到,获得积分10
2秒前
4秒前
英姑应助加顿土豆采纳,获得10
5秒前
傲娇若南完成签到,获得积分10
5秒前
熹微发布了新的文献求助10
9秒前
HH发布了新的文献求助10
12秒前
zy完成签到,获得积分10
13秒前
科研通AI6.1应助傲娇若南采纳,获得10
14秒前
科研通AI6.3应助傲娇若南采纳,获得10
14秒前
科研小白完成签到 ,获得积分10
14秒前
沧笙踏歌完成签到,获得积分10
15秒前
清度发布了新的文献求助20
16秒前
削皮土豆完成签到,获得积分10
17秒前
山梦完成签到 ,获得积分10
17秒前
斯文元龙完成签到,获得积分10
19秒前
汉堡包应助HH采纳,获得10
20秒前
曾丹么么哒完成签到,获得积分10
20秒前
斯文败类应助白鬼采纳,获得10
21秒前
21秒前
22秒前
越努力越心酸完成签到,获得积分10
23秒前
前进四19完成签到,获得积分10
23秒前
阿诺完成签到,获得积分10
24秒前
xzd1014发布了新的文献求助10
27秒前
29秒前
29秒前
29秒前
科研通AI6.4应助Blandwind采纳,获得10
30秒前
33秒前
zhangshenrong完成签到 ,获得积分10
33秒前
鹤昀发布了新的文献求助10
34秒前
朱颜完成签到 ,获得积分10
34秒前
虚幻幼翠发布了新的文献求助10
34秒前
35秒前
奕青完成签到,获得积分10
37秒前
阔达德天发布了新的文献求助10
39秒前
水水完成签到,获得积分10
39秒前
43秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359533
求助须知:如何正确求助?哪些是违规求助? 8173538
关于积分的说明 17214642
捐赠科研通 5414565
什么是DOI,文献DOI怎么找? 2865530
邀请新用户注册赠送积分活动 1842866
关于科研通互助平台的介绍 1691062