Non-linear computer simulation of brain deformation.

粘弹性 刚度 变形(气象学) 有限元法 计算机科学 流离失所(心理学) 实验数据 脑组织 缩进 工作(物理) 模拟 生物医学工程 结构工程 材料科学 机械工程 数学 工程类 统计 复合材料 程序设计语言 心理治疗师 心理学
作者
Karol Miller
出处
期刊:PubMed [National Institutes of Health]
卷期号:37: 179-84 被引量:1
链接
标识
摘要

This paper presents realistic computer simulation of deformation of the brain subject to in-vivo indentation. The work presented provides a step towards neurosurgical simulation, with applications to non-rigid registration, virtual reality training and operation planning systems and robotic devices to perform minimally invasive brain surgery. In order to properly analyze experimental data collected in-vivo, a three-dimensional, non-linear finite element model of the brain was developed. Magnetic resonance imaging techniques were used to obtain geometric information needed for the model. The shape of the force-displacement curve obtained using the numerical solution was very similar to the experimental one. The predicted forces were about 31% lower than those recorded during the experiment. Having in mind that the coefficients in the model had been identified based on experimental data obtained in-vitro, and large variability of mechanical properties of biological tissues, such agreement can be considered as very good. By appropriately increasing material parameters describing instantaneous stiffness of the tissue one is able, without changing the structure of the model, to reproduce experimental curve almost perfectly. Numerical studies showed also, that the linear, viscoelastic model of brain tissue is not appropriate for the modeling brain tissue deformation even for moderate strains.

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
weqhdgjfk完成签到,获得积分10
刚刚
斯文败类应助毗昙采纳,获得10
刚刚
刚刚
刚刚
tparhd完成签到,获得积分10
1秒前
chen测发布了新的文献求助10
2秒前
kiki完成签到,获得积分10
2秒前
2秒前
烂漫不可完成签到,获得积分10
2秒前
花一醒如海完成签到,获得积分20
4秒前
4秒前
SciGPT应助远志茯苓共养神采纳,获得10
5秒前
Orange应助嘟嘟采纳,获得10
5秒前
kiki发布了新的文献求助10
6秒前
waha完成签到,获得积分10
7秒前
DongYue完成签到 ,获得积分10
8秒前
8秒前
dfg应助烂漫不可采纳,获得10
12秒前
chen测完成签到,获得积分10
13秒前
111111aaa发布了新的文献求助10
13秒前
14秒前
长情冬灵完成签到,获得积分10
15秒前
15秒前
上官若男应助able采纳,获得10
15秒前
16秒前
东方元语应助yyx采纳,获得20
17秒前
18秒前
18秒前
郭子啊发布了新的文献求助10
18秒前
酷波er应助文静冰露采纳,获得10
18秒前
19秒前
Owen应助蔡宇滔采纳,获得10
20秒前
21秒前
21秒前
毗昙发布了新的文献求助10
22秒前
夜夜发布了新的文献求助10
22秒前
retr0发布了新的文献求助10
26秒前
问道完成签到,获得积分10
27秒前
ssusshan1021发布了新的文献求助10
28秒前
28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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 7637721
求助须知:如何正确求助?哪些是违规求助? 9211240
关于积分的说明 19758344
捐赠科研通 7204929
什么是DOI,文献DOI怎么找? 3275753
关于科研通互助平台的介绍 2437365
邀请新用户注册赠送积分活动 2272928