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

514
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...
514

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

Spatiotemporal deep learning for early detection of isolated REM sleep behavior disorder and Parkinson's disease using functional MRI data.

NPJ Parkinson's disease·2026
Same author

Timing matters: how mechanism-guided sequencing shapes the efficacy of radiotherapy-immunotherapy combinations : A systematic review.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]·2026
Same author

Current approaches to the diagnosis and management of retained products of conception and enhanced myometrial vascularity of the first trimester.

The European journal of contraception & reproductive health care : the official journal of the European Society of Contraception·2026
Same author

Adoption of AI-driven automation and adaptive radiotherapy in clinical practice: results from a national survey.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026
Same author

Anti-Dengue IgG Seroprevalence and Exposure-Related Risk in Italian Military Personnel Deployed on Overseas Missions: A Cross-Sectional Study.

Tropical medicine and infectious disease·2026
Same author

An integrated calibration-uncertainty framework for improving the reliability of deep learning models for seizure detection in EEG signals.

Computer methods and programs in biomedicine·2026

相关实验视频

Updated: Feb 25, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.7K

用于验证可变形图像注册的反向一致性错误:对计算幻象的探索性研究.

Gianfranco Loi1, Marco Fusella2, Stefania Zara3

  • 1Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy.

Physics and imaging in radiation oncology
|February 24, 2026
PubMed
概括

反向一致性错误 (ICE) 提供了自动的,对可变形图像注册 (DIR) 准确性的可变形图像注册 (DIR) 准确性的自动评估. 这种方法补充了基于轮的指标,并有助于放射治疗工作流程.

关键词:
可变形图像的注册方式反向一致性错误是指一个反向一致性错误.质量保证 质量保证 质量保证注册的不确定性注册的不确定性沃克塞尔智能验证的验证方法

更多相关视频

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

12.2K
Measuring the Complete-arch Distortion of an Optical Dental Impression
06:51

Measuring the Complete-arch Distortion of an Optical Dental Impression

Published on: May 30, 2019

8.1K

相关实验视频

Last Updated: Feb 25, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.7K
Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

12.2K
Measuring the Complete-arch Distortion of an Optical Dental Impression
06:51

Measuring the Complete-arch Distortion of an Optical Dental Impression

Published on: May 30, 2019

8.1K

科学领域:

  • 医疗成像医学成像
  • 放射治疗 物理 物理
  • 计算解剖学的计算解剖学

背景情况:

  • 可变形图像注册 (DIR) 验证传统上依赖于基于轮的方法.
  • 需要自动化voxel-wise指标来进行更强大的DIR准确性评估.

研究的目的:

  • 为了评估反向一致性误差 (ICE) 作为DIR精度的自动化voxel-wise度量.
  • 用数字幻影和临床数据将ICE与现有指标进行比较.

主要方法:

  • 使用数字幻影生成合成基准真相位移向量场 (DVF).
  • 使用ANACONDA算法进行DIR.
  • 将ICE与地面真实记录错误 (GTRE),目标记录错误 (TRE) 和平均距离到协议 (MDA) 进行比较.

主要成果:

  • 对于地面真相DVF,ICE显示了可以忽略不计的值,证实了可逆性.
  • 在头和子幻影中,ICE与GTRE有很强的相关性 (R=0.85),与TRE有中等的相关性 (R=0.68).
  • 尽管低估了大型同质变形,但ICE确定了基于轮的指标遗漏的高不确定性区域.

结论:

  • ICE提供自动化,从临床DVF中量化DIR不确定性的voxel-wise量化.
  • ICE补充了基于轮的指标,用于患者特定的质量保证.
  • ICE可以改善适应性和再辐射放射治疗中的剂量映射.