• 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

基于调幅聚焦超声在谐波成像中引起的全场位移和应变的分析模型。

An analytical model of full-field displacement and strain induced by amplitude-modulated focused ultrasound in harmonic motion imaging.

机构信息

Department of Biomedical Engineering, Columbia University, NY 10023, New York, United States of America.

Thayer School of Engineering, Dartmouth College, Hanover NH 03755, United States of America.

出版信息

Phys Med Biol. 2021 Apr 6;66(7). doi: 10.1088/1361-6560/abddd1.

DOI:10.1088/1361-6560/abddd1
PMID:33472178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8289943/
Abstract

The majority of disease processes involves changes in the micro-structure of the affected tissue, which can translate to changes in the mechanical properties of the corresponding tissue. Harmonic motion imaging (HMI) is an elasticity imaging technique that allows the study of the mechanical parameters of tissue by detecting the tissue response by a harmonic motion field, which is generated by oscillatory acoustic radiation force. HMI has been demonstrated in tumor detection and characterization as well as monitoring of ablation procedures. In this study, an analytical HMI model is demonstrated and compared with a finite element model (FEM), allowing rapid and accurate computation of the displacement, strain, and shear wave velocity (SWV) at any location in a homogenous linear elastic material. Average absolute differences between the analytical model and the FEM were respectively 1.2% for the displacements and 0.5% for the strains for 41 940 force voxels at 0.22 s per displacement evaluation. A convergence study showed that the average difference could be further decreased to 1.0% and 0.15% for the displacements and strains, respectively, if force resolution is increased. SWV fields, as calculated with the FEM and the analytical model, have regional differences in velocities up to 0.57 m swith an average absolute difference of 0.11 ± 0.07 m s, primarily due to imperfections in the non-reflecting FEM boundary conditions. The apparent SWV differed from the commonly used plane-wave approximation by up to 1.2 m sdue to near and intermediate field effects. Maximum displacement amplitudes for a model with an inclusion stabilize within 10% of the homogenous model at an inclusion radius of 10 mm while the maximum strain reacts faster, stabilizing at an inclusion radius of 3 mm. In conclusion, an analytical model for HMI stiffness estimation is presented in this paper. The analytical model has advantages over FEM as the full-field displacements do not need to be calculated to evaluate the model at a single measurement point. This advantage, together with the computational speed, makes the analytical model useful for real-time imaging applications. However, the analytical model was found to have restrictive assumptions on tissue homogeneity and infinite dimensions, while the FEM approaches were shown adaptable to variable geometry and non-homogenous properties.

摘要

大多数疾病过程都涉及受影响组织的微观结构变化,这可能导致相应组织的机械性能发生变化。谐波运动成像(HMI)是一种弹性成像技术,通过检测组织对谐波运动场的响应来研究组织的力学参数,该运动场是由振荡声辐射力产生的。HMI 已在肿瘤检测和特征描述以及消融过程监测中得到证实。在这项研究中,展示了一种分析 HMI 模型,并将其与有限元模型(FEM)进行了比较,允许在均匀线性弹性材料中的任何位置快速准确地计算位移、应变和剪切波速度(SWV)。在 0.22 秒的每个位移评估中,对于 41940 个力体素,分析模型和 FEM 之间的平均绝对差异分别为位移的 1.2%和应变的 0.5%。收敛性研究表明,如果增加力分辨率,位移和应变的平均差异可以分别进一步减小到 1.0%和 0.15%。根据 FEM 和分析模型计算的 SWV 场在速度上存在区域差异,最大可达 0.57 m s,平均绝对差异为 0.11±0.07 m s,主要是由于 FEM 边界条件不反射的不完善造成的。由于近场和中场效应,表观 SWV 与常用的平面波逼近相差高达 1.2 m s。在包含体半径为 10 mm 时,模型的最大位移幅度在 10%以内稳定在均匀模型上,而最大应变的反应更快,在包含体半径为 3 mm 时稳定。总之,本文提出了一种用于 HMI 刚度估计的分析模型。与 FEM 相比,分析模型具有优势,因为不需要计算全场位移来评估单点的模型。该优势以及计算速度使得分析模型适用于实时成像应用。然而,分析模型被发现对组织均匀性和无限维度有严格的假设,而 FEM 方法则被证明适用于可变几何形状和非均匀特性。

相似文献

1
An analytical model of full-field displacement and strain induced by amplitude-modulated focused ultrasound in harmonic motion imaging.基于调幅聚焦超声在谐波成像中引起的全场位移和应变的分析模型。
Phys Med Biol. 2021 Apr 6;66(7). doi: 10.1088/1361-6560/abddd1.
2
Simulation study of amplitude-modulated (AM) harmonic motion imaging (HMI) for stiffness contrast quantification with experimental validation.仿真研究调幅(AM)谐波运动成像(HMI)在实验验证下对刚度对比度的定量分析。
Ultrason Imaging. 2010 Jul;32(3):154-76. doi: 10.1177/016173461003200304.
3
Harmonic motion imaging for abdominal tumor detection and high-intensity focused ultrasound ablation monitoring: an in vivo feasibility study in a transgenic mouse model of pancreatic cancer.用于腹部肿瘤检测和高强度聚焦超声消融监测的谐波运动成像:在胰腺癌转基因小鼠模型中的体内可行性研究
IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Sep;62(9):1662-73. doi: 10.1109/TUFFC.2015.007113.
4
Elasticity mapping of murine abdominal organs in vivo using harmonic motion imaging (HMI).使用谐波运动成像(HMI)对小鼠腹部器官进行体内弹性成像。
Phys Med Biol. 2016 Aug 7;61(15):5741-54. doi: 10.1088/0031-9155/61/15/5741. Epub 2016 Jul 12.
5
Performance assessment of HIFU lesion detection by harmonic motion imaging for focused ultrasound (HMIFU): a 3-D finite-element-based framework with experimental validation.基于三维有限元的谐波运动成象技术对高强度聚焦超声(HIFU)损伤检测性能评估:实验验证
Ultrasound Med Biol. 2011 Dec;37(12):2013-27. doi: 10.1016/j.ultrasmedbio.2011.09.005. Epub 2011 Oct 27.
6
Localized harmonic motion imaging: theory, simulations and experiments.局部谐波运动成像:理论、模拟与实验
Ultrasound Med Biol. 2003 Oct;29(10):1405-13. doi: 10.1016/s0301-5629(03)00953-0.
7
Multi-parametric monitoring and assessment of high-intensity focused ultrasound (HIFU) boiling by harmonic motion imaging for focused ultrasound (HMIFU): an ex vivo feasibility study.多参数监测和评估高强度聚焦超声(HIFU)沸腾的谐波运动成像为聚焦超声(HMIFU):一项离体可行性研究。
Phys Med Biol. 2014 Mar 7;59(5):1121-45. doi: 10.1088/0031-9155/59/5/1121. Epub 2014 Feb 20.
8
Quantitative viscoelastic parameters measured by harmonic motion imaging.通过谐波运动成像测量的定量粘弹性参数。
Phys Med Biol. 2009 Jun 7;54(11):3579-94. doi: 10.1088/0031-9155/54/11/020. Epub 2009 May 19.
9
Non-contact, ultrasound-based indentation method for measuring elastic properties of biological tissues using harmonic motion imaging (HMI).基于超声的非接触式压痕方法,用于使用谐波运动成像(HMI)测量生物组织的弹性特性。
Phys Med Biol. 2015 Apr 7;60(7):2853-68. doi: 10.1088/0031-9155/60/7/2853. Epub 2015 Mar 17.
10
The impact of amplitude modulation frequency in harmonic motion imaging on inclusion characterization.谐波运动成像中调幅频率对包裹体特征描述的影响。
Ultrasound Med Biol. 2023 Aug;49(8):1768-1779. doi: 10.1016/j.ultrasmedbio.2023.03.025. Epub 2023 May 16.

引用本文的文献

1
Amplitude-Modulation Frequency Optimization for Enhancing Harmonic Motion Imaging Performance of Breast Tumors in the Clinic.调制幅度优化频率,提高临床中乳腺肿瘤谐波运动成像性能。
Ultrasound Med Biol. 2025 Jan;51(1):169-179. doi: 10.1016/j.ultrasmedbio.2024.09.021. Epub 2024 Oct 19.

本文引用的文献

1
Feasibility of Harmonic Motion Imaging Using a Single Transducer: In Vivo Imaging of Breast Cancer in a Mouse Model and Human Subjects.利用单个换能器进行谐波运动成像的可行性:在小鼠模型和人体中的乳腺癌体内成像。
IEEE Trans Med Imaging. 2021 May;40(5):1390-1404. doi: 10.1109/TMI.2021.3055779. Epub 2021 Apr 30.
2
Harmonic motion imaging of human breast masses: an in vivo clinical feasibility.人体乳腺肿块的谐波运动成像:体内临床可行性研究。
Sci Rep. 2020 Sep 17;10(1):15254. doi: 10.1038/s41598-020-71960-5.
3
Noninvasive Young's modulus visualization of fibrosis progression and delineation of pancreatic ductal adenocarcinoma (PDAC) tumors using Harmonic Motion Elastography (HME) .利用谐波运动弹性成像(HME)无创可视化纤维化进展和描绘胰腺导管腺癌(PDAC)肿瘤的杨氏模量。
Theranostics. 2020 Mar 15;10(10):4614-4626. doi: 10.7150/thno.37965. eCollection 2020.
4
Histopathology and elastography discordance in evaluation of breast lesions with acoustic radiation force impulse elastography.声学辐射力脉冲弹性成像评估乳腺病变时的组织病理学与弹性成像不一致性
Pol J Radiol. 2019 Apr 26;84:e224-e233. doi: 10.5114/pjr.2019.86852. eCollection 2019.
5
In vivo repeatability of the pulse wave inverse problem in human carotid arteries.人体颈动脉脉搏波逆问题的体内可重复性。
J Biomech. 2017 Nov 7;64:136-144. doi: 10.1016/j.jbiomech.2017.09.017. Epub 2017 Sep 27.
6
The effect of temperature dependent tissue parameters on acoustic radiation force induced displacements.温度依赖性组织参数对声辐射力诱导位移的影响。
Phys Med Biol. 2016 Oct 21;61(20):7427-7447. doi: 10.1088/0031-9155/61/20/7427. Epub 2016 Oct 3.
7
An inverse approach to determining spatially varying arterial compliance using ultrasound imaging.一种使用超声成像确定空间变化动脉顺应性的逆向方法。
Phys Med Biol. 2016 Aug 7;61(15):5486-507. doi: 10.1088/0031-9155/61/15/5486. Epub 2016 Jul 6.
8
A non-contact approach for PWV detection: application in a clinical setting.一种用于脉搏波速度检测的非接触式方法:在临床环境中的应用。
Physiol Meas. 2016 Jul;37(7):990-1003. doi: 10.1088/0967-3334/37/7/990. Epub 2016 May 31.
9
Tumor characterization and treatment monitoring of postsurgical human breast specimens using harmonic motion imaging (HMI).使用谐波运动成像(HMI)对术后人类乳腺标本进行肿瘤特征分析和治疗监测。
Breast Cancer Res. 2016 May 9;18(1):46. doi: 10.1186/s13058-016-0707-3.
10
Harmonic motion imaging for abdominal tumor detection and high-intensity focused ultrasound ablation monitoring: an in vivo feasibility study in a transgenic mouse model of pancreatic cancer.用于腹部肿瘤检测和高强度聚焦超声消融监测的谐波运动成像:在胰腺癌转基因小鼠模型中的体内可行性研究
IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Sep;62(9):1662-73. doi: 10.1109/TUFFC.2015.007113.