• 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

用于经颅聚焦超声刺激的精确声模拟的换能器建模。

Transducer modeling for accurate acoustic simulations of transcranial focused ultrasound stimulation.

机构信息

Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark. Center for Magnetic Resonance, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark. These authors contributed equally to the work.

出版信息

J Neural Eng. 2020 Jul 13;17(4):046010. doi: 10.1088/1741-2552/ab98dc.

DOI:10.1088/1741-2552/ab98dc
PMID:32485690
Abstract

OBJECTIVE

Low-intensity transcranial ultrasound stimulation (TUS) is emerging as a non-invasive brain stimulation technique with superior spatial resolution and the ability to reach deep brain areas. Medical image-based computational modeling could be an important tool for individualized TUS dose control and targeting optimization, but requires further validation. This study aims to assess the impact of the transducer model on the accuracy of the simulations.

APPROACH

Using hydrophone measurements, the acoustic beam of a single-element focused transducer (SEFT) with a flat piezoelectric disc and an acoustic lens was characterized. The acoustic beam was assessed in a homogeneous water bath and after transmission through obstacles (3D-printed shapes and skull samples). The acoustic simulations employed the finite-difference time-domain method and were informed by computed tomography (CT) images of the obstacles. Transducer models of varying complexity were tested representing the SEFT either as a surface boundary condition with variable curvature or also accounting for its internal geometry. In addition, a back-propagated pressure distribution from the first measurement plane was used as source model. The simulations and measurements were quantitatively compared using key metrics for peak location, focus size, intensity and spatial distribution.

MAIN RESULTS

While a surface boundary with an adapted, 'effective' curvature radius based on the specifications given by the manufacturer could reproduce the measured focus location and size in a homogeneous water bath, it regularly failed to accurately predict the beam after obstacle transmission. In contrast, models that were based on a one-time calibration to the homogeneous water bath measurements performed substantially better in all cases with obstacles. For one of the 3D-printed obstacles, the simulated intensities deviated substantially from the measured ones, irrespective of the transducer model. We attribute this finding to a standing wave effect, and further studies should clarify its relevance for accurate simulations of skull transmission.

SIGNIFICANCE

Validated transducer models are important to ensure accurate simulations of the acoustic beam of SEFTs, in particular in the presence of obstacles such as the skull.

摘要

目的

低强度经颅超声刺激(TUS)作为一种具有优越空间分辨率和能够到达深部脑区的非侵入性脑刺激技术正在兴起。基于医学图像的计算建模可能是 TUS 剂量控制和靶向优化的重要工具,但需要进一步验证。本研究旨在评估换能器模型对模拟准确性的影响。

方法

使用水听器测量,对具有平面压电盘和声透镜的单元素聚焦换能器(SEFT)的声束进行了表征。在均匀水浴中和经过障碍物(3D 打印形状和颅骨样本)传输后,评估了声束。声学模拟采用有限差分时域法,并根据障碍物的计算机断层扫描(CT)图像进行。测试了不同复杂程度的换能器模型,这些模型将 SEFT 表示为具有可变曲率的表面边界条件,或者还考虑了其内部几何形状。此外,还使用来自第一测量平面的反向传播压力分布作为源模型。使用关键指标(峰值位置、焦点大小、强度和空间分布)对模拟和测量结果进行定量比较。

主要结果

虽然基于制造商给出的规格的适配“有效”曲率半径的表面边界可以在均匀水浴中重现测量的焦点位置和大小,但它经常无法准确预测障碍物传输后的光束。相比之下,基于对均匀水浴测量的一次性校准的模型在所有情况下表现都要好得多,无论障碍物如何。对于其中一个 3D 打印障碍物,无论换能器模型如何,模拟强度与测量强度都有很大偏差。我们将此发现归因于驻波效应,进一步的研究应阐明其对颅骨传输的准确模拟的相关性。

意义

验证后的换能器模型对于确保 SEFT 声束的准确模拟非常重要,尤其是在存在颅骨等障碍物的情况下。

相似文献

1
Transducer modeling for accurate acoustic simulations of transcranial focused ultrasound stimulation.用于经颅聚焦超声刺激的精确声模拟的换能器建模。
J Neural Eng. 2020 Jul 13;17(4):046010. doi: 10.1088/1741-2552/ab98dc.
2
The impact of CT image parameters and skull heterogeneity modeling on the accuracy of transcranial focused ultrasound simulations.CT 图像参数和颅骨异质性建模对经颅聚焦超声模拟准确性的影响。
J Neural Eng. 2021 May 4;18(4). doi: 10.1088/1741-2552/abf68d.
3
A head template for computational dose modelling for transcranial focused ultrasound stimulation.用于经颅聚焦超声刺激的计算剂量建模的头部模板。
Neuroimage. 2023 Aug 15;277:120227. doi: 10.1016/j.neuroimage.2023.120227. Epub 2023 Jun 13.
4
Method to optimize the placement of a single-element transducer for transcranial focused ultrasound.优化单阵元换能器经颅聚焦超声放置的方法。
Comput Methods Programs Biomed. 2019 Oct;179:104982. doi: 10.1016/j.cmpb.2019.104982. Epub 2019 Jul 9.
5
Computational modeling of a single-element transcranial focused ultrasound transducer for subthalamic nucleus stimulation.用于刺激丘脑底核的单元素经颅聚焦超声换能器的计算建模。
J Neural Eng. 2019 Apr;16(2):026015. doi: 10.1088/1741-2552/aafa38. Epub 2018 Dec 20.
6
Influence of the pressure field distribution in transcranial ultrasonic neurostimulation.经颅超声神经刺激中压力场分布的影响。
Med Phys. 2013 Aug;40(8):082902. doi: 10.1118/1.4812423.
7
3D-printed adaptive acoustic lens as a disruptive technology for transcranial ultrasound therapy using single-element transducers.3D 打印自适应声透镜:一种颠覆性技术,可用于基于单阵元换能器的经颅超声治疗。
Phys Med Biol. 2018 Jan 16;63(2):025026. doi: 10.1088/1361-6560/aaa037.
8
Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus.低强度经颅聚焦超声神经调节对海马能量分布的数值研究。
Ultrasonics. 2022 Aug;124:106724. doi: 10.1016/j.ultras.2022.106724. Epub 2022 Mar 12.
9
Numerical and experimental evaluation of low-intensity transcranial focused ultrasound wave propagation using human skulls for brain neuromodulation.使用人颅骨对脑神经调节进行低强度经颅聚焦超声波传播的数值和实验评估。
Med Phys. 2023 Jan;50(1):38-49. doi: 10.1002/mp.16090. Epub 2022 Nov 24.
10
Differential evolution method to find optimal location of a single-element transducer for transcranial focused ultrasound therapy.差分进化算法寻找经颅聚焦超声治疗中单阵元换能器最佳位置。
Comput Methods Programs Biomed. 2022 Jun;219:106777. doi: 10.1016/j.cmpb.2022.106777. Epub 2022 Mar 26.

引用本文的文献

1
Computational sensitivity evaluation of ultrasound neuromodulation resolution to brain tissue sound speed with robust beamforming.基于稳健波束形成的超声神经调制分辨率对脑组织声速的计算敏感性评估
Sci Rep. 2025 Apr 2;15(1):11251. doi: 10.1038/s41598-025-95396-x.
2
Numerical and experimental evaluation of low-intensity transcranial focused ultrasound wave propagation using human skulls for brain neuromodulation.使用人颅骨对脑神经调节进行低强度经颅聚焦超声波传播的数值和实验评估。
Med Phys. 2023 Jan;50(1):38-49. doi: 10.1002/mp.16090. Epub 2022 Nov 24.
3
General-Purpose Ultrasound Neuromodulation System for Chronic, Closed-Loop Preclinical Studies in Freely Behaving Rodents.
通用超声神经调控系统,用于自由活动啮齿类动物的慢性、闭环临床前研究。
Adv Sci (Weinh). 2022 Dec;9(34):e2202345. doi: 10.1002/advs.202202345. Epub 2022 Oct 19.
4
Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models.经颅超声模拟基准问题:压缩波模型的比较。
J Acoust Soc Am. 2022 Aug;152(2):1003. doi: 10.1121/10.0013426.
5
Measurement and simulation of steered acoustic fields generated by a multielement array for therapeutic ultrasound.用于治疗超声的多阵元阵列产生的可控声场的测量与模拟
JASA Express Lett. 2021 Jan 11;1:012001. doi: 10.1121/10.0003210. eCollection 2021.