IEEE transactions on ultrasonics, ferroelectrics, and frequency control最新文献_第7页

High Figure-of-Merit 36Y-Cut LiNbO3 Lamb Wave Resonators With Dissipation Loss Optimization 具有耗散损耗优化的高品质36y切割LiNbO3 Lamb波谐振器

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-06-02 DOI: 10.1109/TUFFC.2025.3575500

Yushuai Liu;Xuankai Xu;Jiawei Li;Tao Wu

In this work, we present the development of high figure-of-merit (FOM) symmetric Lamb wave (S0) mode resonators using 36Y-cut single-crystal lithium niobate (LiNbO3) thin films. This study enhances the quality factor (

${Q}_{s}$

) through optimization of anchor dimensions and in-plane rotated angle (

$alpha $

). A periodic relationship between

${Q}_{s}$

and

$alpha $

was observed, which is attributed to the anisotropic viscosity coefficient (

$ eta $

) of the S0 mode in 36Y-cut LiNbO3. A method of acoustic delay lines (ADLs) for evaluating

$ eta $

related to the anisotropic intrinsic loss mechanism is proposed on this platform. In this method, the experimental results indicate an inverse correlation between

$ eta $

and

$ {Q}_{s} $

. Notably, our findings explicitly demonstrate that the condition for minimal acoustic loss does not universally correspond to

$text {PFA}=0$

, emphasizing the necessity of a quantitative

$eta $

analysis. Our optimized resonator exhibits an electromechanical coupling coefficient (

${k}_{t}^{2}$

) of 12.3% and a significant

${Q}_{s}$

of 2273 at 323.6 MHz, resulting in an FOM of approximately 280. The reported platform can potentially deliver high-performance radio frequency (RF) applications.Index Terms— Acoustic propagating angle, high figure-of-merit (FOM), lamb wave resonators, lithium niobate.

在这项工作中，我们提出了使用36y切割单晶铌酸锂（LiNbO3）薄膜开发高品质数（FOM）对称兰姆波（S0）模式谐振器。本研究通过优化锚点尺寸和平面内旋转角（α）来提高质量因子（Qs）。在36Y-cut LiNbO3中，Qs和α之间存在周期性的关系，这主要归因于S0模式的各向异性粘度系数（η）。在该平台上提出了一种用声延迟线（ADLs）计算各向异性本征损耗机制相关η值的方法。实验结果表明，η值与Qs值呈负相关关系。值得注意的是，我们的研究结果明确表明，最小声损失的条件并不普遍对应于PFA = 0，强调了定量η分析的必要性。我们优化的谐振器在323.6 MHz时的机电耦合系数（k2t）为12.3%，显著Qs为2273，导致FOM约为280。报告的平台可以潜在地提供高性能射频（RF）应用。

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引用次数: 0

Film-based Cell Culture Device and In Vitro Setup for Ultrasound Modulation. 基于膜的细胞培养装置及体外超声调制装置。

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-05-19 DOI: 10.1109/TUFFC.2025.3569498

Lok Yin Nicholas Chan, Sarina Grewal, Shusei Kawara, Jiho Kim, James J Choi, Sophie V Morse

Conventional ultrasound in vitro systems, such as petri dishes and well plates often introduce acoustic reflections and pressure accumulation, compromising the reliability and reproducibility of experimental results. Custom sonication vessels and setups, while addressing some of these issues, often involve complicated assembly processes and can be compatible only with specific experimental setups. To address these limitations, we developed an easy-to-use 3D-printed device that utilizes parafilm on the top and bottom, enabling the device chamber to be optimized for quick assembly, contamination prevention and ultrasound wave propagation. Pressure field mapping with a needle-hydrophone confirmed a predictable ultrasound pressure distribution within the device. In addition to parafilm, Mylar and polystyrene films were tested showing minimal interference when measuring the pressure field. Rat-derived primary astrocytes and microglial cells, as well as immortalized human embryonic kidney-derived HEK293t cells, were cultured directly onto pre-coated Mylar films, which exhibit superior optical and acoustic transparency. These cell types were selected due to their wide range of potential applications, especially in the emerging field of ultrasound modulation and sonogenetics. Cell viability was assessed using trypan blue exclusion and the results demonstrate the feasibility of seeding cells onto Mylar film. The device maintained sterility with no leakage, confirming its efficacy and reliability for cell culture experiments. This novel 3D-printed device provides more control over the ultrasound parameters delivered to cells. Its adaptable design supports flexible modifications, allowing researchers to tailor it to specific experimental needs, thereby improving the accuracy and reproducibility of in vitro ultrasound modulation studies.

传统的体外超声系统，如培养皿和孔板，经常引入声反射和压力积累，影响实验结果的可靠性和可重复性。定制超声容器和装置虽然解决了其中的一些问题，但通常涉及复杂的装配过程，并且只能与特定的实验装置兼容。为了解决这些限制，我们开发了一种易于使用的3d打印设备，该设备在顶部和底部使用了副膜，使设备室能够进行优化，以实现快速组装，防止污染和超声波传播。用针-水听器绘制的压力场图证实了装置内可预测的超声压力分布。除了副膜外，聚酯薄膜和聚苯乙烯薄膜在测量压力场时显示出最小的干扰。大鼠来源的原代星形胶质细胞和小胶质细胞，以及永生化的人胚胎肾来源的HEK293t细胞，直接培养在具有优异光学和声学透明度的预涂覆聚酯薄膜上。选择这些细胞类型是因为它们具有广泛的潜在应用，特别是在新兴的超声调制和声遗传学领域。用台盼蓝排斥法测定细胞活力，结果表明细胞在Mylar膜上播种是可行的。该装置保持无菌无渗漏，证实了其在细胞培养实验中的有效性和可靠性。这种新型的3d打印设备可以更好地控制传递给细胞的超声参数。其适应性强的设计支持灵活的修改，使研究人员能够根据具体的实验需要量身定制，从而提高体外超声调制研究的准确性和可重复性。

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引用次数: 0

Ultrasound-responsive mammalian cell synthetic biology. 超声响应哺乳动物细胞合成生物学。

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-05-16 DOI: 10.1109/TUFFC.2025.3570813

Filip Ivanovski, Vid Jazbec, Nina Varda, Roman Jerala, Mojca Beneina

Sonogenetics is developing into a powerful tool in synthetic biology. The coupling of ultrasound with genetically engineered effectors enables non-invasive and precise control of cellular and molecular processes. Building on established techniques such as optogenetics, it overcomes the limits of tissue penetration and invasiveness, making it a promising tool for both research and therapeutic applications. Recent advances in acoustic contrast agents, such as microbubbles and gas vesicles, have improved the mechanical effects of ultrasound on cells, extending its application to various biological systems. This review highlights recent advances and challenges, such as standardization of parameters and understanding of underlying mechanisms, and outlines future directions for ultrasound-guided cellular control.

超声遗传学正在发展成为合成生物学的有力工具。超声波与基因工程效应器的耦合使细胞和分子过程的非侵入性和精确控制成为可能。在光遗传学等现有技术的基础上，它克服了组织渗透和侵入性的限制，使其成为研究和治疗应用的有前途的工具。声学造影剂的最新进展，如微泡和气体囊泡，改善了超声对细胞的机械作用，将其应用于各种生物系统。这篇综述强调了最近的进展和挑战，如参数的标准化和对潜在机制的理解，并概述了超声引导细胞控制的未来方向。

引用次数: 0

Layer-Wise Speed-of-Sound Estimation and Beamforming of Segmented Media 分段媒体的分层声速估计和波束形成。

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-04-29 DOI: 10.1109/TUFFC.2025.3565273

Pat De la Torre;Di Xiao;Alfred C. H. Yu

Speed-of-sound (SoS) is a fundamental acoustic property of tissues that is essential for ultrasound image beamforming. The SoS can also act as a quantitative biomarker for pathology in tissue. Typically, the beamforming SoS is assumed to be 1540 m/s for human imaging, but it may be imprecise for imaging scenarios with inhomogeneous tissue. In this work, we present a novel framework for multilayer SoS estimation and propose a SoS-aware (SoSA) beamformer to realize high-quality ultrasound imaging. Our framework consists of three core steps: segmentation of the media layers, sequential estimation of each layer’s SoS assuming intra-layer homogeneity, and SoSA beamforming based on the estimated SoS map. We validated our algorithm in vitro, ex vivo, and in vivo in comparison to through-transmission SoS measurements. Across 126 stacked agar phantom experiments (pairwise combinations of six staircase phantoms with different SoS values), the average SoS estimation error of our framework was 4.9 m/s over the top layers and 1.6 m/s over the bottom layers. In nine stacked bovine and porcine sample experiments, we achieved an average error of 2.7 m/s with an improved point target lateral resolution of 32.5% compared to conventional beamforming with a nominal SoS of 1540 m/s. When indirectly evaluated over five human calves, our algorithm achieved a mean error of 7.9 m/s for the average calf SoS. Also, in human quadriceps imaging scenarios, our proposed framework showed image quality enhancements with improved visibility of the fascicle structure. Overall, our new technique improves ultrasound image resolution and allows more accurate SoS estimates to be derived for tissue health diagnostics.

声速（SoS）是组织的基本声学特性，对超声图像波束形成至关重要。SoS也可以作为组织病理的定量生物标志物。通常，人体成像的波束形成SoS被假设为1540 m/s，但对于非均匀组织的成像场景可能不精确。在这项工作中，我们提出了一个多层SoS估计的新框架，并提出了一个SoS感知（SoSA）波束形成器来实现高质量的超声成像。我们的框架包括三个核心步骤：媒体层的分割，假设层内均匀性的每层SoS的顺序估计，以及基于估计的SoS映射的SoSA波束形成。我们在体外、离体和体内验证了我们的算法，并与透透射SoS测量结果进行了比较。在126个堆叠琼脂幻影实验中（6个不同SoS值的阶梯幻影两两组合），我们的框架的平均SoS估计误差为顶层4.9 m/s，底层1.6 m/s。在9个牛和猪样本的叠加实验中，我们实现了平均误差为2.7 m/s，与标称SoS为1540 m/s的传统波束形成相比，点目标横向分辨率提高了32.5%。当间接评估5个人类小牛时，我们的算法对平均小牛SoS的平均误差为7.9 m/s。此外，在人类股四头肌成像场景中，我们提出的框架显示出图像质量的增强，提高了束状肌结构的可见性。总的来说，我们的新技术改进了。

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引用次数: 0

Generation of High-Order Modes in Resonators Based on Aperiodically Poled Piezoelectric Film Stacks 基于非周期极化压电薄膜堆的谐振腔高阶模的产生。

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-04-29 DOI: 10.1109/TUFFC.2025.3565505

Natalya F. Naumenko

Aperiodically poled piezoelectric film (APPF) stacks have recently been proposed as an extension of periodically poled piezoelectric film (P3F) structures, a promising platform for the expansion of radio frequency (RF) filters into centimeter- and millimeter-wave (mm-wave) frequency bands. Variations in the thicknesses between the layers of the APPF stacks enable the generation of higher order modes typically absent in P3F structures and provide additional options for the design of high-frequency filters. In this study, a simple model is proposed to optimize the thickness ratio in a three-layered structure for the generation or suppression of any mode. Its validity was confirmed by the rigorously simulated admittance functions of the resonators based on optimal structures and comparison with experimental data. The coupling coefficients of modes A1–A11 laterally excited in the 128°YX LN-based three-layered stacks were calculated as functions of the continuously varying thickness ratios. These dependencies can be used for the selection of APPF stacks with simultaneous enhancement of the primary mode and suppression of the undesired modes. In the analyzed lithium niobate (LiNbO3, LN) plates of thickness 600 nm, the electromechanical coupling coefficients of the modes A5 and A7 generated at the frequencies 14.6 and 20.4 GHz increased from 2.4% to 17% and from 1.2% to 9.9%, respectively, when the inverted middle layer of the optimal thickness was introduced, whereas the nearest modes were suppressed. The appearance of spurious symmetric modes in the previously reported experimental P3F structures was explained, and the geometry of the stacks required to avoid these spurious modes is described.

非周期性极化压电薄膜（APPF）堆叠最近被提出作为周期性极化压电薄膜（P3F）结构的延伸，P3F结构是将射频滤波器扩展到厘米和毫米波频段的一个有前途的平台。APPF堆叠层之间厚度的变化可以产生P3F结构中通常不存在的高阶模式，并为高频滤波器的设计提供了额外的选择。在本研究中，提出了一个简单的模型来优化三层结构中任意模态产生或抑制的厚度比。在优化结构的基础上，对谐振腔的导纳函数进行了严格模拟，并与实验数据进行了比较，验证了其有效性。128?中横向激发A1-A11模态的耦合系数基于YX - ln的三层堆叠作为连续变化厚度比的函数进行计算。这些依赖关系可用于选择APPF堆栈，同时增强主模式并抑制不需要的模式。在厚度为600 nm的LN板中，引入最优厚度的反转中间层后，在14.6 GHz和20.4 GHz频率上产生的A5和A7模式的机电耦合系数分别从2.4%提高到17%和1.2%提高到9.9%，而最接近的模式被抑制。解释了先前报道的实验P3F结构中虚假对称模式的出现，并描述了避免这些虚假模式所需的堆叠几何形状。

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引用次数: 0

Single-Crystal Row–Column Array-Based Rat Brain 3-D Ultrasound Localization Microscopy 基于单晶行列阵列的大鼠脑三维超声定位显微镜。

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-04-23 DOI: 10.1109/TUFFC.2025.3563809

Qiandong Sun;Shilin Hou;Rui He;Yapeng Fu;Jiamin Wu;Jiyan Dai;Kailiang Xu

Ultrasound localization microscopy (ULM) enables imaging of cerebral vasculature at a microscopic scale with deep penetration. However, conventional 2-D ULM suffers from elevation projection and cannot capture the out-of-plane vessels. Recently developed volumetric ULM overcomes the limitations by providing isotropic resolution and enabling comprehensive visualization of the microvascular architecture in three dimensions. In this study, we developed a single-crystal

$128+128$

row-column addressed (RCA) probe centered at 13 MHz, with a bandwidth of 80% and a large aperture of

$15.36times 15.36$

mm2, which is suitable for volumetric imaging of small animals and superficial organs. The 3-D rendering of super-resolved vascular density and velocity maps was performed to visualize the cerebral vasculature at an improved spatial resolution of

$24.7~mu $

m. The developed methodology demonstrated the performance of single-crystal RCA-based in vivo volumetric imaging of micro-cerebrovascular, highlighting its high potential for studying neurodegenerative diseases, intracranial aneurysms, and stroke.

超声定位显微镜（ULM）能够在微观尺度上对脑血管系统进行深度成像。然而，传统的二维ULM存在仰角投影问题，无法捕捉到平面外的血管。最近开发的体积ULM通过提供各向同性分辨率和实现三维微血管结构的全面可视化，克服了局限性。本研究开发了一种以13 MHz为中心的128 + 128行列寻址（RCA）单晶探头，带宽为80%，大孔径为15.36 × 15.36 mm2，适用于小动物和浅表器官的体积成像。三维绘制超分辨血管密度和速度图，以提高24.7 μm的空间分辨率显示脑血管。所开发的方法证明了基于微脑血管体内体积成像的单晶RCA的性能，突出了其在研究神经退行性疾病、颅内动脉瘤和中风方面的巨大潜力。

{"title":"Single-Crystal Row–Column Array-Based Rat Brain 3-D Ultrasound Localization Microscopy","authors":"Qiandong Sun;Shilin Hou;Rui He;Yapeng Fu;Jiamin Wu;Jiyan Dai;Kailiang Xu","doi":"10.1109/TUFFC.2025.3563809","DOIUrl":"10.1109/TUFFC.2025.3563809","url":null,"abstract":"Ultrasound localization microscopy (ULM) enables imaging of cerebral vasculature at a microscopic scale with deep penetration. However, conventional 2-D ULM suffers from elevation projection and cannot capture the out-of-plane vessels. Recently developed volumetric ULM overcomes the limitations by providing isotropic resolution and enabling comprehensive visualization of the microvascular architecture in three dimensions. In this study, we developed a single-crystal <inline-formula> <tex-math>$128+128$ </tex-math></inline-formula> row-column addressed (RCA) probe centered at 13 MHz, with a bandwidth of 80% and a large aperture of <inline-formula> <tex-math>$15.36times 15.36$ </tex-math></inline-formula> mm2, which is suitable for volumetric imaging of small animals and superficial organs. The 3-D rendering of super-resolved vascular density and velocity maps was performed to visualize the cerebral vasculature at an improved spatial resolution of <inline-formula> <tex-math>$24.7~mu $ </tex-math></inline-formula>m. The developed methodology demonstrated the performance of single-crystal RCA-based in vivo volumetric imaging of micro-cerebrovascular, highlighting its high potential for studying neurodegenerative diseases, intracranial aneurysms, and stroke.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 6","pages":"698-708"},"PeriodicalIF":3.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143968357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control Publication Information IEEE超音波学、铁电学与频率控制论文集

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-04-22 DOI: 10.1109/TUFFC.2025.3559747

引用次数: 0

Deep Learning to Localize Photoacoustic Sources in Three Dimensions: Theory and Implementation 三维光声源定位的深度学习：理论与实现。

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-04-22 DOI: 10.1109/TUFFC.2025.3562313

Mardava R. Gubbi;Muyinatu A. Lediju Bell

Surgical tool tip localization and tracking are essential components of surgical and interventional procedures. The cross sections of tool tips can be considered as acoustic point sources to achieve these tasks with deep learning applied to photoacoustic channel data. However, source localization was previously limited to the lateral and axial dimensions of an ultrasound transducer. In this article, we developed a novel deep learning-based 3-D photoacoustic point source localization system using an object detection-based approach extended from our previous work. In addition, we derived theoretical relationships among point source locations, sound speeds, and waveform shapes in raw photoacoustic channel data frames. We then used this theory to develop a novel deep learning instance segmentation-based 3-D point source localization system. When tested with 4000 simulated, 993 phantom, and 1983 ex vivo channel data frames, the two systems achieved F1 scores as high as 99.82%, 93.05%, and 98.20%, respectively, and Euclidean localization errors (mean ± one standard deviation) as low as

${1.46} ; pm ; {1.11}$

mm,

${1.58} ; pm ; {1.30}$

mm, and

${1.55} ; pm ; {0.86}$

mm, respectively. In addition, the instance segmentation-based system simultaneously estimated sound speeds with absolute errors (mean ± one standard deviation) of

${19.22} ; pm ; {26.26}$

m/s in simulated data and standard deviations ranging 14.6–32.3 m/s in experimental data. These results demonstrate the potential of the proposed photoacoustic imaging-based methods to localize and track tool tips in three dimensions during surgical and interventional procedures.

手术工具尖端定位和跟踪是外科手术和介入性手术的重要组成部分。工具尖端的横截面可以被视为声学点源，通过应用于光声通道数据的深度学习来实现这些任务。然而，源定位以前仅限于超声换能器的横向和轴向尺寸。在本文中，我们开发了一种新的基于深度学习的三维（3D）光声点源定位系统，该系统使用了基于目标检测的方法，扩展了我们之前的工作。此外，我们推导了原始光声通道数据帧中点源位置、声速和波形形状之间的理论关系。然后，我们利用这一理论开发了一种新的基于深度学习实例分割的三维点源定位系统。在4000个模拟、993个幻影和1983个离体通道数据帧的测试中，两种系统的F1得分分别高达99.82%、93.05%和98.20%，欧氏定位误差（平均±一个标准差）分别低至1.46±1.11 mm、1.58±1.30 mm和1.55±0.86 mm。此外，基于实例分割的系统同时估计声速，模拟数据的绝对误差（平均值±一个标准差）为19.22±26.26 m/s，实验数据的标准偏差为14.6-32.3 m/s。这些结果证明了所提出的基于光声成像的方法在外科手术和介入性手术过程中定位和跟踪工具尖端三维的潜力。

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引用次数: 0

First-Order Speckle Statistics for the Detection of Microstructural Anisotropy 用于显微结构各向异性检测的一阶散斑统计。

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-04-21 DOI: 10.1109/TUFFC.2025.3562784

Alexandra M. Christensen;Timothy J. Hall;Helen Feltovich;Ivan M. Rosado-Mendez

Speckle statistics estimation is a useful quantitative ultrasound tool for characterizing tissue microstructure. However, because of their elongated geometry, fibrillar tissue components like collagen may not be described well by speckle statistics models. The purpose of this study is to perform a systematic analysis of the effects of microstructural anisotropy on speckle statistics estimation. We created phantoms made of wool fibers to correlate speckle statistics estimates to elongated scatterer geometries. Phantoms were attached to a calibrated spring to induce fiber alignment by applying a known tension. Ultrasonic beams were steered to 0°, ± 5°, and ± 10°. Nakagami and homodyned K distribution parameters were calculated from each steered acquisition. Applying tension (0–

$3~pm ~0.2$

N) induced alignment in the wool fibers such that speckle statistics estimates exhibited increased dependence on beam steering angle. Whereas an isotropically scattering phantom exhibited 4%, 55%, 25%, and 17% total changes in Nakagami m, Nakagami

$Omega $

, homodyned K

$alpha $

, and homodyned K k metrics (respectively) over all steering angles with reference to the 0° estimate, changes of 35%, 177%, 151%, and 23% were observed in wool fiber phantoms. The same experiment was repeated in the Achilles tendon of a human subject (28%, 190%, 140%, and 53%) and in the cervix of a Rhesus macaque (9%, 76%, 58%, and 11%) to demonstrate sensitivity in vivo. This study demonstrates how speckle statistics parameters can be used to measure the degree of alignment of anisotropic acoustic scatterers separately from spatial density.

斑点统计估计是一种有用的定量超声表征组织微观结构的工具。然而，由于其细长的几何形状，胶原蛋白等纤维组织成分可能无法用斑点统计模型很好地描述。本研究旨在系统分析微观结构各向异性对散斑统计估计的影响。我们用羊毛纤维制造了幽灵，将斑点统计估计与拉长的散射几何形状联系起来。幻影附着在一个校准的弹簧上，通过施加已知的张力来诱导纤维对齐。超声波光束被引导到0度、±5度和±10度。从每次定向采集中计算出Nakagami和homodyned K分布参数。施加张力（0至3±0.2 N）诱导羊毛纤维的对准，使得斑点统计估计显示出对光束转向角的依赖性增加。与0度估计相比，各向同性散射体在所有转向角上的Nakagami m、Nakagami Ω、同向K α和同向K K指标（分别）的变化分别为4%、55%、25%和17%，而在羊毛纤维体中观察到的变化分别为35%、177%、151%和23%。同样的实验在人类跟腱（28%,190%，140%和53%）和恒河猴子宫颈（9%,76%，58%和11%）中重复进行，以证明体内敏感性。本研究展示了如何使用散斑统计参数来测量各向异性声散射体的对准程度，而不是空间密度。

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引用次数: 0

Combining Deep Data-Driven and Physics-Inspired Learning for Shear Wave Speed Estimation in Ultrasound Elastography 结合深度数据驱动和物理启发学习超声弹性成像中横波速度估计。

IF 3 2区工程技术 Q1 ACOUSTICS

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Pub Date : 2025-04-16 DOI: 10.1109/TUFFC.2025.3561599

Ali K. Z. Tehrani;Scott Schoen;Ion Candel;Yuyang Gu;Peng Guo;Kai Thomenius;Theodore T. Pierce;Michael Wang;Rimon Tadross;Mike Washburn;Hassan Rivaz;Anthony E. Samir

The shear wave elastography (SWE) provides quantitative markers for tissue characterization by measuring the shear wave speed (SWS), which reflects tissue stiffness. SWE uses an acoustic radiation force pulse sequence to generate shear waves that propagate laterally through tissue with transient displacements. These waves travel perpendicular to the applied force, and their displacements are tracked using high-frame-rate ultrasound. Estimating the SWS map involves two main steps: speckle tracking and SWS estimation. Speckle tracking calculates particle velocity by measuring RF/IQ data displacement between adjacent firings, while SWS estimation methods typically compare particle velocity profiles of samples that are laterally a few millimeters apart. Deep learning (DL) methods have gained attention for SWS estimation, often relying on supervised training using simulated data. However, these methods may struggle with real-world data, which can differ significantly from the simulated training data, potentially leading to artifacts in the estimated SWS map. To address this challenge, we propose a physics-inspired learning approach that utilizes real data without known SWS values. Our method employs an adaptive unsupervised loss function, allowing the network to train with the real noisy data to minimize the artifacts and improve the robustness. We validate our approach using experimental phantom data and in vivo liver data from two human subjects, demonstrating enhanced accuracy and reliability in SWS estimation compared with conventional and supervised methods. This hybrid approach leverages the strengths of both data-driven and physics-inspired learning, offering a promising solution for more accurate and robust SWS mapping in clinical applications.

横波弹性成像（SWE）通过测量反映组织刚度的横波速度（SWS），为组织表征提供定量标记。SWE使用声辐射力脉冲序列来产生横波，横波通过具有瞬态位移的组织横向传播。这些波垂直于施加的力传播，它们的位移是用高帧率超声波跟踪的。估计SWS图包括两个主要步骤：斑点跟踪和SWS估计。散斑跟踪通过测量相邻发射之间的RF/IQ数据位移来计算粒子速度，而SWS估计方法通常比较横向相距几毫米的样品的粒子速度分布。深度学习（DL）方法已经引起了人们对SWS估计的关注，通常依赖于使用模拟数据的监督训练。然而，这些方法可能会与真实世界的数据作斗争，这些数据可能与模拟的训练数据有很大的不同，这可能会导致估计的SWS图中的伪影。为了应对这一挑战，我们提出了一种物理启发的学习方法，该方法利用真实数据而不知道SWS值。我们的方法采用自适应无监督损失函数，允许网络使用真实的噪声数据进行训练，以最小化伪像并提高鲁棒性。我们使用实验幻影数据和来自两名人类受试者的体内肝脏数据验证了我们的方法，证明与传统和监督方法相比，SWS估计的准确性和可靠性更高。这种混合方法利用了数据驱动和物理启发学习的优势，为临床应用中更准确、更强大的SWS制图提供了一种有前途的解决方案。

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引用次数: 0