• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于高帧率斑点追踪超声心动图的双组织多普勒光流方法。

A Dual Tissue-Doppler Optical-Flow Method for Speckle Tracking Echocardiography at High Frame Rate.

出版信息

IEEE Trans Med Imaging. 2018 Sep;37(9):2022-2032. doi: 10.1109/TMI.2018.2811483. Epub 2018 Mar 2.

DOI:10.1109/TMI.2018.2811483
PMID:29993598
Abstract

A coupled computational method for recovering tissue velocity vector fields from high-frame-rate echocardiography is described. Conventional transthoracic echocardiography provides limited temporal resolution, which may prevent accurate estimation of the 2-D myocardial velocity field dynamics. High-frame-rate compound echocardiography using diverging waves with integrated motion compensation has been shown to provide concurrent high-resolution B-mode and tissue Doppler imaging (TDI). In this paper, we propose a regularized least-squares method to provide accurate myocardial velocities at high frame rates. The velocity vector field was formulated as the minimizer of a cost function that is a weighted sum of: 1) the ${\ell }^{{2}}$ -norm of the material derivative of the B-mode images (optical flow); 2) the ${\ell }^{{2}}$ -norm of the tissue-Doppler residuals; and 3) a quadratic regularizer that imposes spatial smoothness and well-posedness. A finite difference discretization of the continuous problem was adopted, leading to a sparse linear system. The proposed framework was validated in vitro on a rotating disk with speeds up to 20 cm/s, and compared with speckle tracking echocardiography (STE) by block matching. It was also validated in vivo against TDI and STE in a cross-validation strategy involving parasternal long axis and apical three-chamber views. The proposed method based on the combination of optical flow and tissue Doppler led to more accurate time-resolved velocity vector fields.

摘要

一种从高帧率超声心动图中恢复组织速度矢量场的耦合计算方法。传统的经胸超声心动图提供的时间分辨率有限,可能会阻止对二维心肌速度场动态的准确估计。使用具有集成运动补偿的发散波的高帧率复合超声心动图已被证明可以提供同时的高分辨率 B 模式和组织多普勒成像 (TDI)。在本文中,我们提出了一种正则化最小二乘法,以在高帧率下提供准确的心肌速度。速度矢量场被公式化为成本函数的最小值,该函数是 B 模式图像(光流)的物质导数的 ${\ell }^{{2}}$ -范数、组织多普勒残差的 ${\ell }^{{2}}$ -范数和施加空间平滑和适定性的二次正则化项的加权和。采用连续问题的有限差分离散化,得到稀疏线性系统。该框架在高达 20 cm/s 的速度下在旋转磁盘上进行了体外验证,并通过块匹配与斑点跟踪超声心动图 (STE) 进行了比较。它还通过涉及胸骨旁长轴和心尖三腔视图的交叉验证策略与 TDI 和 STE 进行了体内验证。基于光流和组织多普勒结合的提出的方法导致了更准确的时变速度矢量场。

相似文献

1
A Dual Tissue-Doppler Optical-Flow Method for Speckle Tracking Echocardiography at High Frame Rate.一种用于高帧率斑点追踪超声心动图的双组织多普勒光流方法。
IEEE Trans Med Imaging. 2018 Sep;37(9):2022-2032. doi: 10.1109/TMI.2018.2811483. Epub 2018 Mar 2.
2
High-Frame-Rate Speckle-Tracking Echocardiography.高帧率斑点追踪超声心动图。
IEEE Trans Ultrason Ferroelectr Freq Control. 2018 May;65(5):720-728. doi: 10.1109/TUFFC.2018.2809553.
3
Tissue Doppler imaging optical flow (TDIOF): a combined B-mode and tissue Doppler approach for cardiac motion estimation in echocardiographic images.组织多普勒成像光流(TDIOF):一种用于超声心动图图像中心脏运动估计的B模式与组织多普勒相结合的方法。
IEEE Trans Biomed Eng. 2014 Aug;61(8):2264-77. doi: 10.1109/TBME.2014.2299551. Epub 2014 Mar 3.
4
High-Frame-Rate Contrast-Enhanced Echocardiography Using Diverging Waves: 2-D Motion Estimation and Compensation.使用离散波的高帧率对比增强超声心动图:2-D 运动估计和补偿。
IEEE Trans Ultrason Ferroelectr Freq Control. 2019 Feb;66(2):359-371. doi: 10.1109/TUFFC.2018.2887224. Epub 2018 Dec 18.
5
Assessing the Performance of Ultrafast Vector Flow Imaging in the Neonatal Heart via Multiphysics Modeling and In Vitro Experiments.通过多物理场建模和体外实验评估超快矢量流成像在新生儿心脏中的性能。
IEEE Trans Ultrason Ferroelectr Freq Control. 2016 Nov;63(11):1772-1785. doi: 10.1109/TUFFC.2016.2596804.
6
Radial strain and strain rate by two-dimensional speckle tracking echocardiography and the tissue velocity based technique in the dog.二维斑点追踪超声心动图及基于组织速度技术测量犬的径向应变和应变率
J Vet Cardiol. 2007 Nov;9(2):69-81. doi: 10.1016/j.jvc.2006.11.002. Epub 2007 Nov 26.
7
Intraventricular vector flow mapping-a Doppler-based regularized problem with automatic model selection.心室内向量血流图——基于多普勒的具有自动模型选择的正则化问题。
Phys Med Biol. 2017 Aug 11;62(17):7131-7147. doi: 10.1088/1361-6560/aa7fe7.
8
Tracking in high-frame-rate imaging.高速成像中的跟踪。
Ultrason Imaging. 2010 Jan;32(1):1-15. doi: 10.1177/016173461003200101.
9
Assessment of mitral annular velocities by speckle tracking echocardiography versus tissue Doppler imaging: validation, feasibility, and reproducibility.斑点追踪超声心动图与组织多普勒成像评估二尖瓣环速度:验证、可行性和可重复性。
J Am Soc Echocardiogr. 2009 Nov;22(11):1302-8. doi: 10.1016/j.echo.2009.08.004. Epub 2009 Sep 18.
10
Robust angle-independent blood velocity estimation based on dual-angle plane wave imaging.基于双角度平面波成像的稳健的角度无关血流速度估计
IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Oct;62(10):1757-67. doi: 10.1109/TUFFC.2015.007108.

引用本文的文献

1
Sensorless End-to-End Freehand 3-D Ultrasound Reconstruction With Physics-Guided Deep Learning.基于物理引导深度学习的无传感器端到端徒手三维超声重建
IEEE Trans Ultrason Ferroelectr Freq Control. 2024 Nov;71(11):1514-1525. doi: 10.1109/TUFFC.2024.3465214. Epub 2024 Nov 27.
2
Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography.提高局域壁异常检测准确性:在多视图超声心动图中集成机器学习、光流算法和时间卷积网络。
PLoS One. 2024 Sep 12;19(9):e0310107. doi: 10.1371/journal.pone.0310107. eCollection 2024.
3
A deep learning phase-based solution in 2D echocardiography motion estimation.
二维超声心动图运动估计中基于深度学习相位的解决方案。
Phys Eng Sci Med. 2024 Dec;47(4):1691-1703. doi: 10.1007/s13246-024-01481-2. Epub 2024 Sep 12.
4
An optimisation-based iterative approach for speckle tracking echocardiography.基于优化的斑点追踪超声心动图迭代方法。
Med Biol Eng Comput. 2020 Jun;58(6):1309-1323. doi: 10.1007/s11517-020-02142-8. Epub 2020 Apr 7.