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

Structural Classification of Joints01:20

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
Introduction to Structures01:30

Introduction to Structures

A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
Indeterminate Structure01:18

Indeterminate Structure

Indeterminate structures refer to structures where internal forces and reactions cannot be determined using only the equations of static equilibrium.  Indeterminate structures have more unknown forces and reaction forces than equations of static equilibrium that can be used to determine them. Indeterminate structures are often used in engineering to create complex, efficient, and aesthetically pleasing structures. There are various types of indeterminate structures used in engineering and some...
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Stability of structures01:14

Stability of structures

In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...

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

Dosimetrically coupled multiscale tetrahedral mesh models of human liver vasculature: implications for radiopharmaceutical dosimetry of both organ blood and parenchyma.

Physics in medicine and biology·2025
Same author

Implementation of a novel pencil beam scanning Bragg peak FLASH technique to a commercial treatment planning system.

Medical physics·2025
Same author

Multi-institution investigations of online daily adaptive proton strategies for head and neck cancer patients.

Physics in medicine and biology·2025
Same author

Monte Carlo dosimetric analyses on the use of<sup>90</sup>Y-IsoPet intratumoral therapy in canine subjects.

Physics in medicine and biology·2024
Same author

Multi-institutional experimental validation of online adaptive proton therapy workflows.

Physics in medicine and biology·2024
Same author

The Role of Proton Therapy for Prostate Cancer in the Setting of Hip Prosthesis.

Cancers·2024

相关实验视频

Updated: Jun 14, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.6K

对于自动生成结构集的经营者独立的质量保证系统.

Alexander Bookbinder1,2, Mislav Bobić3,4,5, Gregory C Sharp4,5

  • 1Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America.

Physics in medicine and biology
|July 24, 2024
PubMed
概括

本研究引入了在线适应性放射治疗的自动化质量保证 (QA) 系统,使用几何和强度测试来检测自动生成的治疗结构中的错误.

关键词:
适应性质子疗法适应性质子疗法适应性放射疗法适应性放射疗法可变形图像的注册 变形图像的注册结构 QA QA 的结构.结构传播 结构传播

更多相关视频

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
08:21

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

2.6K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

400

相关实验视频

Last Updated: Jun 14, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.6K
Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
08:21

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

2.6K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

400

科学领域:

  • 医学物理 医学物理
  • 放射治疗技术 放射治疗技术
  • 图像分析 图像分析

背景情况:

  • 在线适应性放射治疗需要精确的自动生成结构来规划治疗.
  • 手动验证这些结构是耗时且容易出现错误的.
  • 需要自动化质量保证 (QA) 来提高效率和准确性.

研究的目的:

  • 描述基于几何和强度的工具,用于自动生成放射治疗结构的质量保证.
  • 设计一个独立于操作者的交通信号灯系统,用于识别错误的结构集.
  • 为了评估自动化质量保证系统的准确性.

主要方法:

  • 可变形图像注册用于从计划CT传播轮到每日CBCT.
  • 使用图像强度,梯度和几何学的结构测试组合的开发.
  • 将结构测试组合汇总成一个交通信号灯质量保证系统.
  • 用模拟错误场景对头癌患者数据进行验证.

主要成果:

  • 自动化质量保证系统在区分可接受和不可接受的治疗分数方面表现得非常准确.
  • 294/324可接受分数正确标记为绿色或黄色.
  • 19/20不可接受的分数被正确识别为黄色或红色.

结论:

  • 开发的系统有效地补充了放射治疗计划结构的手动审查.
  • 通过汇总多个测试,自动化质量保证提高了结构集验证的可靠性.
  • 这种方法为在线适应性放射治疗的质量控制提供了强大的解决方案.