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

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

Semaglutide Reverses Ectopic Lipid Accumulation, Impaired Myocardial Perfusion Reserve, and Diastolic Dysfunction in a Mouse Model of Cardiometabolic Heart Disease.

JACC. Basic to translational science·2026
Same author

Cardiac Magnetic Resonance to Define Myocardial Structure in Obesity-Associated Heart Failure.

Current cardiology reports·2026
Same author

The novel mineralocorticoid receptor modulator balcinrenone protects against diet-induced cardiac microvascular dysfunction and plasma potassium elevation in mouse models.

PloS one·2026
Same author

Multiparametric cardiac magnetic resonance identifies macrophage nitric oxide synthase 2-mediated benefits of preventive sodium-glucose cotransporter 2 inhibition in a mouse model of metabolic heart disease.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2025
Same author

Prospective Evaluation of the Cardiovascular Effects of BRAF and MEK Inhibitors in Patients With Melanoma.

JACC. CardioOncology·2025
Same author

SCAR-AWARE LATE MECHANICAL ACTIVATION DETECTION NETWORK FOR OPTIMAL CARDIAC RESYNCHRONIZATION THERAPY PLANNING.

Proceedings. IEEE International Symposium on Biomedical Imaging·2025
Same journal

MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images.

Shape in medical imaging : International Workshop, ShapeMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. ShapeMI (Workshop) (2024 : Marrakech, Morocco)·2024
Same journal

Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images.

Shape in medical imaging : International Workshop, ShapeMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. ShapeMI (Workshop) (2024 : Marrakech, Morocco)·2024
查看所有相关文章

相关实验视频

Updated: May 20, 2025

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.2K

拉莫德:潜在运动扩散模型用于心肌菌株生成

Jiarui Xing1, Nivetha Jayakumar1, Nian Wu1

  • 1Department of Electrical and Computer Engineering, University of Virginia, USA.

Shape in medical imaging : International Workshop, ShapeMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. ShapeMI (Workshop) (2024 : Marrakech, Morocco)
|March 24, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了LaMoD,这是一种新的AI模型,可以从标准的心脏MRI视频中准确预测心脏运动. 这项创新增强了心肌应变分析,以改善心脏病患者的护理.

更多相关视频

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

390
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

13.6K

相关实验视频

Last Updated: May 20, 2025

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.2K
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

390
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

13.6K

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 心脏病学 心脏病学

背景情况:

  • 心脏磁共振 (CMR) 成像对于评估心脏功能和心肌应变至关重要.
  • 深度学习模型改进了CMR运动分析,但与微妙的图像变化和错误传播作斗争.
  • 先进的DENSE CMR提供了准确的运动数据,但需要额外的采集时间.

研究的目的:

  • 开发一种新的方法,从标准CMR视频中预测精确的DENSE类运动.
  • 在临床环境中提高心肌张力分析的准确性.
  • 克服CMR运动分析当前深度学习方法的局限性.

主要方法:

  • 介绍了潜移动扩散模型 (LaMoD).
  • 使用预先训练的注册网络编码器提取潜移动特征.
  • 采用了由DENSE CMR地面真相数据监督的概率潜伏扩散模型.

主要成果:

  • 在标准CMR图像中,LaMoD显著提高了运动分析的准确性.
  • 该模型有效地从提取的潜伏特征中重建精确的运动.
  • 改进的运动分析转化为更好的心肌应变评估.

结论:

  • 拉莫德提供了一个有前途的解决方案,用于从标准CMR中准确预测心脏运动.
  • 该方法有可能改善心脏病的临床诊断和患者管理.
  • 公共可用的代码有助于进一步的研究和临床应用.