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Improved Limited-View Ultrasound Tomography via Machine Learning 通过机器学习改进有限视角超声断层成像。
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-25 DOI: 10.1109/TUFFC.2024.3486668
Mikolaj Mroszczak;Stefano Mariani;Peter Huthwaite
Tomographic reconstruction is used extensively in medicine, nondestructive testing (NDT), and geology. In an ideal situation, where measurements are taken at all angles around an object, known as full-view configuration, a full reconstruction of the object can be produced. One of the major issues faced in tomographic imaging is when measurements cannot be taken freely around the object under inspection. This may be caused by the size and geometry of the object or difficulty accessing from particular directions. The resulting limited view (LV) transducer configuration leads to a large deterioration in image quality; thus, it is very beneficial to employ a compensation algorithm. At present, the most effective compensation algorithms require a large amount of computing power or a bespoke case-by-case approach, often with numerous arbitrary constants which must be tuned for a specific application. This work proposes a machine learning (ML)-based approach to perform the LV compensation. The model is based around an autoencoder (AE) architecture. It is trained on an artificial dataset, taking advantage of the ability to generate arbitrary LV images given a full view input. The approach is evaluated on ten laser-scanned corrosion maps and the results compared to positivity regularization-a LV compensation algorithm similar in the speed of execution and generalization potential. The algorithms are compared for root mean squared error (RMSE) across the image and maximum absolute error (MAE). Furthermore, they are visually compared for subjective quality. Compared to the conventional algorithm, the ML-based approach improves on the MAE in eight out of the ten cases. The conventional approach performs better on mean RMSE, which is explained by the ML outputting an inaccurate background level, which is not a critical ability. Most importantly, the visual inspection of outputs shows the ML approach reconstructs the images better, especially in the case of irregular corrosion patches. Compared to LV images, the ML method improves both the RMSE and MAE by 41%.
断层摄影重建被广泛应用于医学、无损检测和地质学领域。在理想情况下,从物体周围的所有角度进行测量(即全视图配置),就能得到物体的完整重建图。层析成像面临的一个主要问题是无法围绕被检测物体自由进行测量。造成这种情况的原因可能是物体的尺寸和几何形状,也可能是难以从特定方向进行测量。由此产生的有限视角传感器配置会导致图像质量大幅下降,因此采用补偿算法是非常有益的。目前,最有效的补偿算法需要大量的计算能力或定制的个案方法,通常需要针对特定应用调整大量任意常数。这项工作提出了一种基于机器学习的方法来执行有限视角补偿。该模型基于自动编码器架构。它在人工数据集上进行训练,利用了在全视角输入的情况下生成任意有限视角图像的能力。该方法在十张激光扫描腐蚀图上进行了评估,并将评估结果与正则化进行了比较,正则化是一种有限视图补偿算法,在执行速度和泛化潜力方面与有限视图补偿算法相似。比较了两种算法在整个图像上的均方根误差 (RMSE) 和最大绝对误差 (MAE)。此外,还对它们的主观质量进行了直观比较。与传统算法相比,基于 ML 的方法在十种情况中有八种的 MAE 有所改进。传统方法在平均均方根误差(RMSE)方面表现更好,这是因为 ML 输出的背景水平不准确,而这并不是关键能力。最重要的是,对输出结果的目测表明,ML 方法能更好地重建图像,尤其是在不规则腐蚀斑块的情况下。与有限视角图像相比,ML 方法的 RMSE 和 MAE 均提高了 41%。
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引用次数: 0
Volumetric Ultrasound Localization Microscopy 容积超声定位显微镜。
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-25 DOI: 10.1109/TUFFC.2024.3485556
Louise Denis;Georges Chabouh;Baptiste Heiles;Olivier Couture
Super-resolution ultrasound (SRUS) has evolved significantly with the advent of ultrasound localization microscopy (ULM). This technique enables subwavelength resolution imaging using microbubble contrast agents. Initially confined to 2-D imaging, ULM has progressed toward volumetric approaches, allowing for comprehensive 3-D visualization of microvascular networks. This review explores the technological advancements and challenges associated with volumetric ULM, focusing on key aspects such as transducer design, acquisition speed, data processing algorithms, or integration into clinical practice. We discuss the limitations of traditional 2-D ULM, including dependence on precise imaging plane selection and compromised resolution in microvasculature quantification. In contrast, volumetric ULM offers enhanced spatial resolution and allows motion correction in all directions, promising transformative insights into microvascular pathophysiology. By examining current research and future directions, this review highlights the potential of volumetric ULM to contribute significantly to diagnostic across various medical conditions, including cancers, arteriosclerosis, strokes, diabetes, and neurodegenerative diseases.
随着超声定位显微镜(ULM)的出现,超分辨率超声(SRUS)得到了长足的发展。这项技术利用微气泡造影剂实现了亚波长分辨率成像。ULM 最初仅限于二维成像,现在已发展为容积成像方法,可实现微血管网络的全面三维可视化。本综述探讨了与容积超短波成像相关的技术进步和挑战,重点关注换能器设计、采集速度、数据处理算法或与临床实践的结合等关键方面。我们讨论了传统二维超低功耗成像技术的局限性,包括对精确成像平面选择的依赖性和微血管量化分辨率的影响。相比之下,容积式超短波成像可提供更高的空间分辨率,并允许在所有方向上进行运动校正,有望为微血管病理生理学提供变革性的见解。通过研究当前的研究和未来的发展方向,这篇综述强调了容积超短波成像技术在各种疾病诊断方面的潜力,包括癌症、动脉硬化、中风、糖尿病和神经退行性疾病。
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引用次数: 0
Design and Analysis of Guided Surface Acoustic Waves in ScAlN on Sapphire for Phononic Integrated Circuits. 在蓝宝石上的 ScAlN 中设计和分析用于语音集成电路的引导表面声波。
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-21 DOI: 10.1109/TUFFC.2024.3484181
Jack Guida, Siddhartha Ghosh

This study presents a comprehensive dispersion analysis and characterization of guided surface acoustic waves (SAWs) in 30% scandium aluminum nitride (ScAlN) alloy thin films on sapphire (SoS). The solidly mounted platform, which supports the fundamental Rayleigh and Sezawa SAW modes, offers mechanical robustness and high electromechanical coupling (k2t), while maintaining high confinement of the acoustic modes. Numerical modeling, coupled with experimental results, showcases the characteristics of focusing interdigitated transducers (FIDTs) for injecting acoustic energy into piezoelectric etch-defined acoustic waveguides and highlights their advantages over conventional uniform aperture transducers. Identity mapping of boundary conditions significantly reduces degrees of freedom in modeling energy injection into acoustic waveguides. The theory of Gaussian beams in optics is applied to the FIDTs to model the physical response of the transducers accurately and emphasize their high-intensity focusing nature. This work also demonstrates the ability of FIDTs to facilitate phononic devices and phononic integrated circuit applications in slow-on-fast piezoelectric platforms.

本研究对蓝宝石(SoS)上的 30% 氮化钪铝(ScAlN)合金薄膜中的引导表面声波(SAW)进行了全面的频散分析和表征。稳固安装的平台支持基本的瑞利(Rayleigh)和塞泽(Sezawa)声表面波模式,具有机械坚固性和高机电耦合(k2t),同时保持了声学模式的高度约束。数值建模与实验结果相结合,展示了用于将声能注入压电蚀刻定义声波导管的聚焦互斥换能器(FIDT)的特性,并突出了其与传统均匀孔径换能器相比的优势。边界条件的特性映射大大降低了声波导内能量注入建模的自由度。光学中的高斯光束理论被应用于 FIDT,以准确模拟换能器的物理响应,并强调其高强度聚焦特性。这项研究还证明了 FIDT 能够促进声波器件和声波集成电路在慢-快压电平台中的应用。
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引用次数: 0
Influence of Image Discretization and Patch Size on Microbubble Localization Precision 图像离散化和斑块大小对微气泡定位精度的影响
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-14 DOI: 10.1109/TUFFC.2024.3479710
Julia Sobolewski;Stefanie Dencks;Georg Schmitz
For ultrasound localization microscopy, the localization of microbubbles (MBs) is an essential part to obtain super-resolved maps of the vasculature. This article analyzes the impact of image discretization and patch size on the precision of different MB localization methods to reconcile different observations from previous studies, provide an estimate of feasible localization precision, and derive guidelines for an optimal parameter selection. For this purpose, the images of MBs were simulated with Gaussian point-spread functions (PSFs) of varying width parameter $boldsymbol {sigma }$ at randomly generated subpixel positions, and Rician distributed noise was added. Four localization methods were tested on the patches of different sizes (number of pixels ${N}times {N}$ ): Gaussian fit (GF), radial symmetry (RS) method, calculation of center of mass (CoM), and peak detection (PD). Additionally, the Cramér-Rao lower bound (CRLB) for the given estimation problem was calculated. Our results show that the localization precision is strongly influenced by the ratio of the PSF width parameter $boldsymbol {sigma }$ to the pixel size $boldsymbol {Delta }$ , as well as the patch size N. The best parameter combination depends on the localization method. Generally, very small $boldsymbol {sigma /}{boldsymbol {Delta }}$ ratios as well as large $boldsymbol {sigma /}{boldsymbol {Delta }}$ ratios in combination with small N lead to performance degradation. The GF as a representative of a model-based fit comes close to the CRLB and always performs best for the $boldsymbol {sigma /}{boldsymbol {Delta }}$ ratios given by image discretization if N is adapted to the PSF. To achieve good results with the GF and the RS method, a good rule of thumb is to set the pixel sizes ${boldsymbol {Delta }}boldsymbol {le sigma /0.6}$ and the patch sizes ${{N}ge {2}sigma /}boldsymbol {Delta }{+3}$ .
对于超声定位显微镜来说,微气泡(MB)的定位是获得血管超分辨图的重要部分。本文分析了图像离散化和斑块大小对不同微泡定位方法精确度的影响,以调和以往研究的不同观察结果,提供可行的定位精确度估算,并得出最佳参数选择指南。为此,用随机生成的子像素位置上宽度参数σ不等的高斯点扩散函数(PSF)模拟 MB 图像,并添加里氏分布噪声。在不同大小(像素数 N × N)的斑块上测试了四种定位方法:高斯拟合法、径向对称法、质量中心计算法和峰值检测法。此外,还计算了给定估计问题的克拉梅尔-拉奥下限(CRLB)。我们的结果表明,PSF 宽度参数 σ 与像素尺寸 Δ 的比率以及补丁尺寸 N 对定位精度有很大影响。一般来说,非常小的σ/Δ 比值以及大的σ/Δ 比值与小的 N 相结合会导致性能下降。作为基于模型拟合的代表,高斯拟合接近于 CRLB,如果 N 与 PSF 相适应,对于图像离散化给出的 σ/Δ 比,高斯拟合总是表现最佳。要使用高斯拟合和径向对称法取得良好效果,一个好的经验法则是设置像素大小 Δ ≤ σ/0.6,补丁大小 N ≥ 2σ/Δ + 3。
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引用次数: 0
Automated Classification of Coronary Plaque on Intravascular Ultrasound by Deep Classifier Cascades 利用深度分类器级联对血管内超声上的冠状动脉斑块进行自动分类。
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-10 DOI: 10.1109/TUFFC.2024.3475033
Jing Yang;Xinze Li;Yunbo Guo;Peng Song;Tiantian Lv;Yingmei Zhang;Yaoyao Cui
Intravascular ultrasound (IVUS) is the gold standard modality for in vivo visualization of coronary arteries and atherosclerotic plaques. Classification of coronary plaques helps to characterize heterogeneous components and evaluate the risk of plaque rupture. Manual classification is time-consuming and labor-intensive. Several machine learning-based classification approaches have been proposed and evaluated in recent years. In the current study, we develop a novel pipeline composed of serial classifiers for distinguishing IVUS images into five categories: normal, calcified plaque, attenuated plaque, fibrous plaque, and echolucent plaque. The cascades comprise densely connected classification models and machine learning classifiers at different stages. Over 100000 IVUS frames of five different lesion types were collected and labeled from 471 patients for model training and evaluation. The overall accuracy of the proposed classifier is 0.877, indicating that the proposed framework has the capacity to identify the nature and category of coronary plaques in IVUS images. Furthermore, it may provide real-time assistance on plaque identification and facilitate clinical decision-making in routine practice.
血管内超声(IVUS)是活体观察冠状动脉和动脉粥样硬化斑块的金标准模式。对冠状动脉斑块进行分类有助于确定异质性成分的特征并评估斑块破裂的风险。人工分类耗时耗力。近年来提出并评估了几种基于机器学习的分类方法。在当前的研究中,我们开发了一种由序列分类器组成的新型管道,用于将 IVUS 图像分为五类:正常斑块、钙化斑块、衰减斑块、纤维斑块和回声斑块。级联由不同阶段的密集连接分类模型和机器学习分类器组成。收集了 471 名患者的 100,000 多张五种不同病变类型的 IVUS 图像,并对其进行了标记,用于模型训练和评估。拟议分类器的总体准确率为 0.877,表明拟议框架有能力识别 IVUS 图像中冠状动脉斑块的性质和类别。此外,它还能为斑块识别提供实时帮助,促进常规临床决策。
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引用次数: 0
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control Publication Information IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 出版信息
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-10 DOI: 10.1109/TUFFC.2024.3466751
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引用次数: 0
Histotripsy-Induced Bactericidal Activity Correlates to Size of Cavitation Cloud In Vitro 组氨诱导的杀菌活性与体外空化云的大小有关。
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-09 DOI: 10.1109/TUFFC.2024.3476438
Pratik A. Ambekar;Yak-Nam Wang;Tatiana D. Khokhlova;Gilles P. L. Thomas;Pavel B. Rosnitskiy;Kaizer Contreras;Daniel F. Leotta;Adam D. Maxwell;Matthew Bruce;Shelby Pierson;Stephanie Totten;Yashwanth Nanda Kumar;Jeff Thiel;Keith Chan;W. Conrad Liles;Evan Patchen Dellinger;Adeyinka Adedipe;Wayne L. Monsky;Thomas J. Matula
Large abscesses are walled-off collections of pus and bacteria that often do not respond to antibiotic therapy. Standard of care involves percutaneous placement of indwelling catheter(s) for drainage, a long and uncomfortable process with high rehospitalization rates. The long-term goal of this work is to develop therapeutic ultrasound approaches to eradicate bacteria within abscesses as a noninvasive therapeutic alternative. Inertial cavitation induced by short pulses of focused ultrasound (histotripsy) is known to generate lethal mechanical damage in bacteria. Prior studies with Escherichia coli (E. coli) in suspension demonstrated that bactericidal effects increase with increasing peak negative amplitude, treatment time, and duty cycle. The current study investigated correlates of bactericidal activity with histotripsy cavitation cloud size. Histotripsy was applied to E. coli suspensions in 10-mL sample vials at 810 kHz, 1.2 MHz, or 3.25 MHz for 40 min. The cavitation activity in the sample vials was separately observed with high-speed photography. The cavitation cloud area was quantified from those images. A linear relationship was observed between bacterial inactivation and cavitation cloud size ( ${R}^{{2}}=0.98$ ), regardless of the acoustic parameters (specifically frequency, pulse duration, and power) used to produce the cloud.Index Terms— Abscess, bacterial inactivation, bactericidal activity, cavitation, high intensity focused ultrasound (HIFU), histotripsy, therapeutic ultrasound.
大脓肿是脓液和细菌的壁状聚集,通常对抗生素治疗无效。标准的治疗方法包括经皮置入留置导管进行引流,这是一个漫长而不舒适的过程,再住院率很高。这项工作的长期目标是开发超声治疗方法,以消灭脓肿内的细菌,作为一种非侵入性的替代治疗方法。众所周知,聚焦超声短脉冲诱导的惯性空化(组织损伤)会对细菌造成致命的机械损伤。之前对悬浮液中的大肠杆菌(E. coli)进行的研究表明,杀菌效果会随着负振幅峰值、治疗时间和占空比的增加而增强。本研究调查了杀菌活性与组旋空化云大小的相关性。在 810 kHz、1.2 MHz 或 3.25 MHz 频率下对 10 毫升样品瓶中的大肠杆菌悬浮液进行组旋,持续 40 分钟。通过高速摄影分别观察样品瓶中的空化活动。根据这些图像对空化云面积进行量化。细菌灭活与空化云大小之间呈线性关系(R2 = 0.96),与产生空化云的声学参数(特别是频率、脉冲持续时间和功率)无关。
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引用次数: 0
A heterogeneous ultrasound open scanner for the real-time implementation of computationally demanding imaging methods. 用于实时执行计算要求高的成像方法的异构超声开放式扫描仪。
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-04 DOI: 10.1109/TUFFC.2024.3474091
Giulio Bonciani, Francesco Guidi, Piero Tortoli, Claudio Giangrossi, Alessandro Dallai, Enrico Boni, Alessandro Ramalli

Ultrasound open scanners have recently boosted the development and validation of novel imaging techniques. They are usually split into hardware- or software-oriented systems, depending on whether they process the echo data using embedded FPGAs/DSPs or a GPU on a host PC. The goal of this work was to realize a high-performance heterogeneous open scanner capable of leveraging the strengths of both hardware and software-oriented systems. The elaboration power of the 256-channel ultrasound advanced open platform (ULA-OP 256) was further enhanced by embedding a compact co-processing GPU system-on-module (SoM). By carefully avoiding latencies and overheads through low-level optimization work, an efficient PCIe communication interface was established between the GPU and the processing devices onboard the ULA-OP 256. As a proof of concept of the enhanced system, the high frame rate color flow mapping technique was implemented on the GPU SoM and tested. Compared to a previous DSP-based implementation, higher real-time frame rates were achieved together with unprecedented flexibility in setting crucial parameters such as the ensemble length (EL). For example, by setting EL=64 and a continuous-time high-pass filter, the flow was investigated with high temporal and spatial resolution in the femoral vein bifurcation (frame rate = 1.1 kHz) and carotid artery bulb (4.3 kHz), highlighting the flow disturbances due to valve aperture and secondary velocity components, respectively. The results of this work promote the development of other computational-expensive processing algorithms in real-time and may inspire the next generation of ultrasound high-performance heterogeneous scanners.

最近,超声开放式扫描仪推动了新型成像技术的开发和验证。它们通常分为面向硬件或面向软件的系统,这取决于它们是使用嵌入式 FPGAs/DSPs 还是主机 PC 上的 GPU 处理回波数据。这项工作的目标是实现一种高性能异构开放式扫描仪,能够同时利用硬件和软件导向系统的优势。通过嵌入一个紧凑型协同处理 GPU 系统模块(SoM),进一步增强了 256 通道超声波高级开放平台(ULA-OP 256)的处理能力。通过底层优化工作精心避免了延迟和开销,在 GPU 和 ULA-OP 256 上的处理设备之间建立了高效的 PCIe 通信接口。作为增强型系统的概念验证,在 GPU SoM 上实施并测试了高帧速率色彩流映射技术。与之前基于 DSP 的实施相比,实现了更高的实时帧速率,同时在设置关键参数(如集合长度 (EL))方面具有前所未有的灵活性。例如,通过设置 EL=64 和连续时间高通滤波器,以较高的时间和空间分辨率研究了股静脉分叉处(帧速率 = 1.1 kHz)和颈动脉球部(4.3 kHz)的流动情况,分别突出了瓣膜孔径和次级速度成分造成的流动干扰。这项工作的结果促进了其他计算密集型实时处理算法的发展,并可能为下一代超声高性能异构扫描仪带来灵感。
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引用次数: 0
A Low Phase Jitter MEMS Oscillator with Centrally-Anchored Piezoelectric Resonator for Wide Temperature Range Real Time Clock Applications. 用于宽温度范围实时时钟应用的低相位抖动 MEMS 振荡器与中心锚定压电谐振器。
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-02 DOI: 10.1109/TUFFC.2024.3472509
Shubham Sahasrabudhe, Yaoyao Long, Zhenming Liu, Farrokh Ayazi

This paper describes prototype temperature compensated piezoelectric MEMS oscillators operating in the wide temperature range of -40 °C to 85 °C for RTC applications. The AlN-on-Si resonator is centrally anchored at one point and designed for low power operation with a wide frequency tuning range of 5000 ppm. The oscillators exhibit a stable sinusoidal output at about 497 kHz frequency for time keeping applications with an integrated phase jitter being 10× better than the best commercially available MEMS RTC oscillators for supplementary use in portable devices for clocking audio circuits. The measured oscillator performance remains relatively unchanged when comparing the wafer level packaged capped MEMS resonator with the uncapped one, showing great potential for a high performance low-power RTC oscillator.

本文介绍了可在 -40 °C 至 85 °C 宽温度范围内工作的温度补偿压电 MEMS 振荡器原型,适用于 RTC 应用。硅基氮化铝谐振器集中锚定在一点上,设计用于低功耗运行,频率调谐范围宽达 5000 ppm。振荡器在 497 kHz 左右的频率下显示出稳定的正弦波输出,适用于计时应用,其综合相位抖动比市场上最好的 MEMS RTC 振荡器好 10 倍,可作为便携式设备中音频电路的辅助时钟。在晶圆级封装的有盖 MEMS 谐振器和无盖谐振器之间进行比较时,测得的振荡器性能保持相对不变,显示出高性能、低功耗 RTC 振荡器的巨大潜力。
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引用次数: 0
Rationally Designed Acoustic Holograms for Uniform Nanodroplet-Mediated Tissue Ablation 合理设计声全息图,实现均匀的纳米微滴介导的组织消融。
IF 3 2区 工程技术 Q1 ACOUSTICS Pub Date : 2024-10-01 DOI: 10.1109/TUFFC.2024.3471873
Bar Glickstein;Oz Shaul;Tali Ilovitsh
Nanodroplets (NDs) are phase-changing agents that have shown great potential for ultrasound (US) applications. When US is applied, NDs can undergo a phase transition into gas bubbles, enabling cavitation that can be used to reduce the pressure threshold required for mechanical ablation of tissues. Effective tissue fractionation depends on precise vaporization to achieve uniform and predictable bubble formation. This study aimed to optimize ND vaporization using acoustic holograms for improved ND-mediated histotripsy. Tissue ablation was conducted using a two-step approach, where a rotating imaging probe was used for ND vaporization followed by low-frequency US for detonation. We developed and validated three distinct acoustic hologram patterns targeting different regions within a circular area through simulations and experiments. Using custom-made gelatin phantoms designed for optimal ND vaporization imaging, the superpositioned patterns demonstrated significantly more uniform ND vaporization compared to standard single-focus steering, with ND coverage reaching $70.42~pm ~6.86$ % for the optimized vaporization approach versus $39.32~pm ~6.77$ % for the single focus steering. Ex vivo chicken liver experiments confirmed the enhanced efficiency of the optimized approach, resulting in significantly larger and more uniform lesion areas. Lesion areas generated by 120 s of treatment reached $2.19~pm ~0.21$ mm2 compared to $0.43~pm ~0.03$ mm2 for the standard approach, a 5.1-fold increase. These findings suggest that using acoustic holograms can improve ND vaporization uniformity and enhance the homogeneity of tissue fractionation, thereby potentially enhancing therapeutic outcomes.
纳米微滴是一种相变剂,在超声波应用方面具有巨大潜力。应用超声波时,纳米液滴会发生相变,变成气泡,从而产生空化作用,可用于降低机械消融组织所需的压力阈值。有效的组织分馏取决于精确的气化,以实现均匀和可预测的气泡形成。本研究旨在利用声全息技术优化纳米液滴汽化,以改进纳米液滴介导的组织切割。组织消融采用两步法进行,先用旋转成像探针进行纳米微滴汽化,然后用低频超声引爆。通过模拟和实验,我们开发并验证了针对圆形区域内不同区域的三种不同声全息图模式。使用为纳米液滴汽化最佳成像而设计的定制明胶模型,与标准的单焦点转向相比,叠加模式显示出更均匀的纳米液滴汽化,优化汽化方法的纳米液滴覆盖率达到 70.42 ± 6.86%,而单焦点转向的覆盖率为 39.32 ± 6.77%。体内鸡肝实验证实,优化方法的效率更高,产生的病变区域更大、更均匀。120 秒治疗产生的病变面积达到 2.19 ± 0.21 平方毫米,而标准方法为 0.43 ± 0.03 平方毫米,增加了 5.1 倍。这些研究结果表明,使用声全息图可以改善纳米微滴汽化的均匀性,提高组织分馏的均匀性,从而有可能提高治疗效果。
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引用次数: 0
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IEEE transactions on ultrasonics, ferroelectrics, and frequency control
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