Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

694
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
694

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Percutaneous Vertebral Expansion with the SpineJack Device in Adolescents: A Feasibility Case Series.

Journal of vascular and interventional radiology : JVIR·2026
Same author

CBCT-Guided Iliosacral Screw Osteosynthesis in a Pregnant Woman: A Case Report and Literature Review.

Journal of personalized medicine·2026
Same author

Patient-specific modular system for bone deformities: experimental and numerical investigation of mechanical properties.

Computer methods in biomechanics and biomedical engineering·2026
Same author

Predicting mechanical failure in spinal metastases: from clinical scores to patient-specific biomechanical modeling.

Neuro-Chirurgie·2026
Same author

Interventional radiology in bone metastases: Current concepts and perspectives.

Joint bone spine·2026
Same author

Large Language Models for Patient Education: Insights from Cross-Lingual Expert Evaluation in Radioligand Therapy for Neuroendocrine Tumors.

Journal of cancer education : the official journal of the American Association for Cancer Education·2026
Same journal

A tri-axis optomechanical accelerometer with plasmonic MIM waveguide and structural direction-dependent optical signatures.

Scientific reports·2026
Same journal

Holographic leaky-wave antennas with independently controlled multiple counter-rotating vortex beams.

Scientific reports·2026
Same journal

Differential associations of longitudinal hearing and vision trajectories with dementia and mild cognitive impairment in older adults.

Scientific reports·2026
Same journal

Abdominal obesity and leisure-time sedentary behavior in relation to gastroesophageal reflux disease risk: a prospective cohort study from the UK Biobank.

Scientific reports·2026
Same journal

Effect of nitrogen-rich COF incorporation on the structure and separation performance of polyamide nanofiltration membranes.

Scientific reports·2026
Same journal

Withanolide A inhibits hIAPP aggregation: An In silico, biophysical, and drosophila-based In vivo validation.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: May 1, 2026

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

7.4K

有限元模型与自动计算机断层扫描骨分段用于故障负载计算.

Emile Saillard1,2, Marc Gardegaront1,3, Aurélie Levillain3

  • 1INSERM, LYOS UMR 1033, Université Claude Bernard Lyon 1, 69008, Lyon, France.

Scientific reports
|July 17, 2024
PubMed
概括
此摘要是机器生成的。

在CT扫描上使用深度学习的自动骨分段提供了与手工方法相比较准确的结果. 这种方法增强了针对患者特定的骨转移病例的生物力学故障负载模拟.

更多相关视频

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.7K
Imaging of the Microstructural Failure Mechanism in the Human Hip
08:43

Imaging of the Microstructural Failure Mechanism in the Human Hip

Published on: September 29, 2023

818

相关实验视频

Last Updated: May 1, 2026

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

7.4K
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.7K
Imaging of the Microstructural Failure Mechanism in the Human Hip
08:43

Imaging of the Microstructural Failure Mechanism in the Human Hip

Published on: September 29, 2023

818

科学领域:

  • 医疗成像医学成像
  • 生物机械工程 生物机械工程
  • 人工智能的人工智能

背景情况:

  • 精确的骨细分对于使用患者CT数据进行生物力学故障负载模拟至关重要.
  • 手动细分是耗时的,劳动密集型,容易变化.
  • 大量的注释数据集的有限可用性阻碍了深度学习模型的泛化.

研究的目的:

  • 开发和评估一种自动化管道,用于从CT扫描中细分体内人类大腿骨和脊椎.
  • 评估生物机械模拟的基于深度学习的细分的质量和有效性.
  • 为了比较使用自动与手动细分的模拟结果.

主要方法:

  • 实施了一条专门的管道,涉及预处理,基于U-Net的深度学习细分和后处理.
  • 三个U-Net架构进行了实验,用于对大腿骨和脊椎的CT体积进行细分.
  • 生物机械故障负载模拟使用自动和手动分段进行.

主要成果:

  • 经过精心训练的U-Net模型实现了人类大腿骨和脊椎的高质量,自动体积细分.
  • 使用自动分段的故障负载模拟结果与手动专家分段的结果相似.
  • 分析了模拟对自动细分中微小变化的灵敏度.

结论:

  • 拟议的自动化细分方法对生物力学故障负载模拟有效.
  • 深度学习模型,当经过精心训练时,可以从CT数据中实现高质量的骨细分.
  • 自动化细分为临床生物力学中手工方法提供了可行和高效的替代方案.