IEEE transactions on ultrasonics, ferroelectrics, and frequency control最新文献

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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
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
{"title":"Layer-Wise Speed-of-Sound Estimation and Beamforming of Segmented Media","authors":"Pat De la Torre;Di Xiao;Alfred C. H. Yu","doi":"10.1109/TUFFC.2025.3565273","DOIUrl":"10.1109/TUFFC.2025.3565273","url":null,"abstract":"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.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 6","pages":"732-743"},"PeriodicalIF":3.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10980109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143965397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
IEEE transactions on ultrasonics, ferroelectrics, and frequency control Pub Date : 2025-04-29 DOI: 10.1109/TUFFC.2025.3565505
Natalya F. Naumenko
{"title":"Generation of High-Order Modes in Resonators Based on Aperiodically Poled Piezoelectric Film Stacks","authors":"Natalya F. Naumenko","doi":"10.1109/TUFFC.2025.3565505","DOIUrl":"10.1109/TUFFC.2025.3565505","url":null,"abstract":"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.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 7","pages":"987-995"},"PeriodicalIF":3.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020113","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
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
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
{"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
IEEE transactions on ultrasonics, ferroelectrics, and frequency control Pub Date : 2025-04-22 DOI: 10.1109/TUFFC.2025.3559747
{"title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control Publication Information","authors":"","doi":"10.1109/TUFFC.2025.3559747","DOIUrl":"https://doi.org/10.1109/TUFFC.2025.3559747","url":null,"abstract":"","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 4","pages":"C2-C2"},"PeriodicalIF":3.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10972340","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
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
{"title":"Deep Learning to Localize Photoacoustic Sources in Three Dimensions: Theory and Implementation","authors":"Mardava R. Gubbi;Muyinatu A. Lediju Bell","doi":"10.1109/TUFFC.2025.3562313","DOIUrl":"10.1109/TUFFC.2025.3562313","url":null,"abstract":"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 <inline-formula> <tex-math>${1.46} ; pm ; {1.11}$ </tex-math></inline-formula> mm, <inline-formula> <tex-math>${1.58} ; pm ; {1.30}$ </tex-math></inline-formula> mm, and <inline-formula> <tex-math>${1.55} ; pm ; {0.86}$ </tex-math></inline-formula> mm, respectively. In addition, the instance segmentation-based system simultaneously estimated sound speeds with absolute errors (mean ± one standard deviation) of <inline-formula> <tex-math>${19.22} ; pm ; {26.26}$ </tex-math></inline-formula> 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.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 6","pages":"786-805"},"PeriodicalIF":3.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144006190","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
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
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
{"title":"First-Order Speckle Statistics for the Detection of Microstructural Anisotropy","authors":"Alexandra M. Christensen;Timothy J. Hall;Helen Feltovich;Ivan M. Rosado-Mendez","doi":"10.1109/TUFFC.2025.3562784","DOIUrl":"10.1109/TUFFC.2025.3562784","url":null,"abstract":"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–<inline-formula> <tex-math>$3~pm ~0.2$ </tex-math></inline-formula> 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 <inline-formula> <tex-math>$Omega $ </tex-math></inline-formula>, homodyned K <inline-formula> <tex-math>$alpha $ </tex-math></inline-formula>, 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.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 6","pages":"744-754"},"PeriodicalIF":3.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020044","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
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
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
{"title":"Combining Deep Data-Driven and Physics-Inspired Learning for Shear Wave Speed Estimation in Ultrasound Elastography","authors":"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","doi":"10.1109/TUFFC.2025.3561599","DOIUrl":"10.1109/TUFFC.2025.3561599","url":null,"abstract":"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.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 6","pages":"806-816"},"PeriodicalIF":3.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143976014","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
A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging 基于深度强化学习的区域特定波束形成器用于稀疏阵列三维超声成像。
IF 3 2区 工程技术
IEEE transactions on ultrasonics, ferroelectrics, and frequency control Pub Date : 2025-04-15 DOI: 10.1109/TUFFC.2025.3560872
Mohamed Tamraoui;Hervé Liebgott;Emmanuel Roux
{"title":"A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging","authors":"Mohamed Tamraoui;Hervé Liebgott;Emmanuel Roux","doi":"10.1109/TUFFC.2025.3560872","DOIUrl":"10.1109/TUFFC.2025.3560872","url":null,"abstract":"Sparse arrays offer several advantages over other element reduction techniques for 3-D ultrasound imaging. However, the large interelement spacing in these arrays results in high sidelobe-related artifacts, which significantly degrade image quality and limit their application in 3-D ultrasound imaging. Adaptive beamformers have been proposed to mitigate sidelobe-related artifacts, but they often degrade speckle texture quality, resulting in unnaturally dark images. To overcome these limitations, we propose RSB-Net, a region-specific beamformer based on deep reinforcement learning (DRL). RSB-Net adaptively selects the most suitable beamformer for each pixel of the image, applying adaptive beamforming in regions dominated by sidelobe artifacts and delay-and-sum (DAS) beamforming in regions where speckle texture should be preserved. The effectiveness of RSB-Net was validated on both simulated and experimental synthetic transmit aperture (STA) RF datasets with a newly designed sparse array prototype. On simulated data, RSB-Net achieved significant gains, with improvements of 52.81 dB in contrast ratio (CR) and 0.65 in a generalized contrast-to-noise ratio (gCNR) compared to DAS beamforming. In experimental tissue-mimicking phantom data, RSB-Net demonstrated similar performance, achieving gains of 51.01 dB and 0.64, respectively. These results highlight the potential of RSB-Net as a robust and effective solution for high-quality B-mode 3-D ultrasound imaging using 2-D sparse arrays, advancing the standardization of 3-D ultrasound in clinical settings by enhancing anatomical visualization, reducing operator dependency, and improving measurement accuracy for lesions and calcifications.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 6","pages":"772-785"},"PeriodicalIF":3.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143968259","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
A High-Frequency Ultrasound Endoscope for Minimally Invasive Spine Surgery 用于微创脊柱手术的高频超声内窥镜。
IF 3 2区 工程技术
IEEE transactions on ultrasonics, ferroelectrics, and frequency control Pub Date : 2025-04-10 DOI: 10.1109/TUFFC.2025.3559870
M. Nicole MacMullin;Theresa Gu;Thomas G. Landry;Nicholas Campbell;Sean D. Christie;Jeremy A. Brown
{"title":"A High-Frequency Ultrasound Endoscope for Minimally Invasive Spine Surgery","authors":"M. Nicole MacMullin;Theresa Gu;Thomas G. Landry;Nicholas Campbell;Sean D. Christie;Jeremy A. Brown","doi":"10.1109/TUFFC.2025.3559870","DOIUrl":"10.1109/TUFFC.2025.3559870","url":null,"abstract":"The transition to minimally invasive spinal surgery over traditional open procedures requires the development of imaging techniques that meet the size constraints. Due to size restrictions associated with minimally invasive spine surgery (MISS), current imaging techniques are largely limited to microscopy, which is only capable of line-of-sight imaging of the tissue surface. A miniature, high-resolution ultrasound imaging endoscope has been developed as a potential alternative imaging method that would enable intraoperative guidance. We have designed and developed a 30-MHz miniature, 64-element high-resolution imaging endoscope using PIN-PMT-PT single crystal as the piezoelectric substrate. The packaged probe had cross-sectional dimensions of <inline-formula> <tex-math>$3.8times 4.2$ </tex-math></inline-formula> mm and a length of 14 cm. Two editions of the endoscope were created with a forward facing and 40° angle to enable visualization of structures during a medial and lateral approach, respectively. The probe was combined with a custom imaging system that produced real-time images with a field of view ranging between ±32° and an image depth of 15 mm. The two-way axial resolution was measured to be <inline-formula> <tex-math>$38~mu $ </tex-math></inline-formula>m based on the -6-dB width of the pulse envelope. The -6-dB lateral resolution was measured to be 113, 131, and <inline-formula> <tex-math>$158~mu $ </tex-math></inline-formula>m at steering angles of 0°, 12°, and 25°, respectively, which were close to the simulated values of 106, 118, and <inline-formula> <tex-math>$144~mu $ </tex-math></inline-formula>m. Preliminary clinical imaging studies successfully demonstrated the visualization of pertinent spinal anatomy during minimally invasive surgeries. The imaging probe was also able to demonstrate compression and decompression of nerve roots, supporting its potential use as a clinical tool.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 6","pages":"828-836"},"PeriodicalIF":3.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144012604","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
Respiratory Motion Effects and Mitigation Strategies on Boiling Histotripsy in Porcine Liver and Kidney 猪肝脏和肾脏沸腾组织的呼吸运动效应及缓解策略。
IF 3 2区 工程技术
IEEE transactions on ultrasonics, ferroelectrics, and frequency control Pub Date : 2025-04-09 DOI: 10.1109/TUFFC.2025.3559458
Ekaterina M. Ponomarchuk;Gilles P. L. Thomas;Minho Song;Yak-Nam Wang;Stephanie Totten;George R. Schade;Vera A. Khokhlova;Tatiana D. Khokhlova
{"title":"Respiratory Motion Effects and Mitigation Strategies on Boiling Histotripsy in Porcine Liver and Kidney","authors":"Ekaterina M. Ponomarchuk;Gilles P. L. Thomas;Minho Song;Yak-Nam Wang;Stephanie Totten;George R. Schade;Vera A. Khokhlova;Tatiana D. Khokhlova","doi":"10.1109/TUFFC.2025.3559458","DOIUrl":"10.1109/TUFFC.2025.3559458","url":null,"abstract":"Boiling histotripsy (BH) is a pulsed high-intensity focused ultrasound (HIFU)-based method of extracorporeal nonthermal tissue disintegration under real-time ultrasound (US) guidance. Respiratory motion in abdominal targets can affect BH precision and completeness. This study compares two motion mitigation strategies based on pulse/echo US motion tracking: robotic arm-based unidirectional motion compensation by HIFU transducer manipulation and BH pulse gating during expiratory pause. BH ablations were generated in the liver and kidney of anesthetized pigs with 2–10-ms pulses using a 256-element 1.5-MHz HIFU array. A coaxial US imaging probe was used for targeting, tracking skin surface, and monitoring real-time bubble activity. The axial [anterior-posterior (AP)] displacement of the skin surface was found to be synchronous with liver and kidney motion in both cranio-caudal (CC) and AP directions. BH lesions were produced either with no motion mitigation, or with pulse gating, or with 1-D motion compensation. Dimensions of completely fractionated and affected tissue areas were measured histologically. In liver, gating and motion compensation improved fractionation completeness within targeted volumes and reduced off-target tissue damage in AP direction versus no motion mitigation; only gating reduced off-target damage in CC direction. In kidney, gating improved BH completeness in both directions versus no mitigation, but did not affect off-target damage due to lower displacement amplitudes in the kidney comparable with gating tolerance limits. In both liver and kidney, gating increased treatment time by 24%. These results suggest that BH pulse gating using US-based AP skin surface tracking is an adequate approach for treating organs with pronounced 3-D respiratory motion.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 6","pages":"837-846"},"PeriodicalIF":3.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143963274","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
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