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

{"title":"Optically Validated Microvascular Phantom for Super-Resolution Ultrasound Imaging","authors":"Jaime Parra Raad;Daniel Lock;Yi-Yi Liu;Mark Solomon;Laura Peralta;Kirsten Christensen-Jeffries","doi":"10.1109/TUFFC.2024.3484770","DOIUrl":"10.1109/TUFFC.2024.3484770","url":null,"abstract":"Super-resolution ultrasound (SRUS) visualizes microvasculature beyond the ultrasound (US) diffraction limit (wavelength(\u0000<inline-formula> <tex-math>$lambda $ </tex-math></inline-formula>\u0000)/2) by localizing and tracking spatially isolated microbubble (MB) contrast agents. SRUS phantoms typically consist of simple tube structures, where diameter channels below \u0000<inline-formula> <tex-math>${100}~{mu }$ </tex-math></inline-formula>\u0000m are not available. Furthermore, these phantoms are generally fragile and unstable, have limited ground truth validation, and their simple structure limits the evaluation of SRUS algorithms. To aid SRUS development, robust and durable phantoms with known and physiologically relevant microvasculature are needed for repeatable SRUS testing. This work proposes a method to fabricate durable microvascular phantoms that allow optical gauging for SRUS validation. The methodology used a microvasculature negative print embedded in a Polydimethylsiloxane (PDMS) to fabricate a microvascular phantom. Branching microvascular phantoms with variable microvascular density were demonstrated with optically validated vessel diameters down to \u0000<inline-formula> <tex-math>${sim } 60~{mu }$ </tex-math></inline-formula>\u0000m (\u0000<inline-formula> <tex-math>$lambda text {/}{5.8}$ </tex-math></inline-formula>\u0000; \u0000<inline-formula> <tex-math>${lambda ={sim }{350}}~{mu }$ </tex-math></inline-formula>\u0000m). SRUS imaging was performed and validated with optical measurements. The average SRUS error was \u0000<inline-formula> <tex-math>${15.61}~{mu }$ </tex-math></inline-formula>\u0000m (\u0000<inline-formula> <tex-math>$lambda text {/22}$ </tex-math></inline-formula>\u0000) with a standard deviation error of \u0000<inline-formula> <tex-math>${11.44}~{mu }$ </tex-math></inline-formula>\u0000m. The average error decreased to \u0000<inline-formula> <tex-math>${7.93}~{mu }$ </tex-math></inline-formula>\u0000m (\u0000<inline-formula> <tex-math>$lambda text {/44}$ </tex-math></inline-formula>\u0000) once the number of localized MBs surpassed 1000 per estimated diameter. In addition, less than 10% variance of acoustic and optical properties and the mechanical toughness of the phantoms measured a year after fabrication demonstrated their long-term durability. This work presents a method to fabricate durable and optically validated complex microvascular phantoms which can be used to quantify SRUS performance and facilitate its further development.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"71 12: Breaking the Resolution Barrier in Ultrasound","pages":"1833-1843"},"PeriodicalIF":3.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142545196","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}

{"title":"Improved Limited-View Ultrasound Tomography via Machine Learning","authors":"Mikolaj Mroszczak;Stefano Mariani;Peter Huthwaite","doi":"10.1109/TUFFC.2024.3486668","DOIUrl":"10.1109/TUFFC.2024.3486668","url":null,"abstract":"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%.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"71 12: Breaking the Resolution Barrier in Ultrasound","pages":"1906-1914"},"PeriodicalIF":3.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142499385","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}

{"title":"Volumetric Ultrasound Localization Microscopy","authors":"Louise Denis;Georges Chabouh;Baptiste Heiles;Olivier Couture","doi":"10.1109/TUFFC.2024.3485556","DOIUrl":"10.1109/TUFFC.2024.3485556","url":null,"abstract":"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.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"71 12: Breaking the Resolution Barrier in Ultrasound","pages":"1643-1656"},"PeriodicalIF":3.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142499469","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}

{"title":"Design and Analysis of Guided Surface Acoustic Waves in ScAlN on Sapphire for Phononic Integrated Circuits","authors":"Jack Guida;Siddhartha Ghosh","doi":"10.1109/TUFFC.2024.3484181","DOIUrl":"10.1109/TUFFC.2024.3484181","url":null,"abstract":"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. The solidly mounted platform, which supports the fundamental Rayleigh and Sezawa SAW modes, offers mechanical robustness and high electromechanical coupling (<inline-formula> <tex-math>$k_{t}^{2}$ </tex-math></inline-formula>), 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 (DoFs) 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 (PnICs) applications in slow-on-fast piezoelectric platforms.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 1","pages":"44-54"},"PeriodicalIF":3.0,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142499384","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}

{"title":"Influence of Image Discretization and Patch Size on Microbubble Localization Precision","authors":"Julia Sobolewski;Stefanie Dencks;Georg Schmitz","doi":"10.1109/TUFFC.2024.3479710","DOIUrl":"10.1109/TUFFC.2024.3479710","url":null,"abstract":"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 \u0000<inline-formula> <tex-math>$boldsymbol {sigma }$ </tex-math></inline-formula>\u0000 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 \u0000<inline-formula> <tex-math>${N}times {N}$ </tex-math></inline-formula>\u0000): 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 \u0000<inline-formula> <tex-math>$boldsymbol {sigma }$ </tex-math></inline-formula>\u0000 to the pixel size \u0000<inline-formula> <tex-math>$boldsymbol {Delta }$ </tex-math></inline-formula>\u0000, as well as the patch size N. The best parameter combination depends on the localization method. Generally, very small \u0000<inline-formula> <tex-math>$boldsymbol {sigma /}{boldsymbol {Delta }}$ </tex-math></inline-formula>\u0000 ratios as well as large \u0000<inline-formula> <tex-math>$boldsymbol {sigma /}{boldsymbol {Delta }}$ </tex-math></inline-formula>\u0000 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 \u0000<inline-formula> <tex-math>$boldsymbol {sigma /}{boldsymbol {Delta }}$ </tex-math></inline-formula>\u0000 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 \u0000<inline-formula> <tex-math>${boldsymbol {Delta }}boldsymbol {le sigma /0.6}$ </tex-math></inline-formula>\u0000 and the patch sizes \u0000<inline-formula> <tex-math>${{N}ge {2}sigma /}boldsymbol {Delta }{+3}$ </tex-math></inline-formula>\u0000.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"71 12: Breaking the Resolution Barrier in Ultrasound","pages":"1823-1832"},"PeriodicalIF":3.0,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142464218","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}

{"title":"Automated Classification of Coronary Plaque on Intravascular Ultrasound by Deep Classifier Cascades","authors":"Jing Yang;Xinze Li;Yunbo Guo;Peng Song;Tiantian Lv;Yingmei Zhang;Yaoyao Cui","doi":"10.1109/TUFFC.2024.3475033","DOIUrl":"10.1109/TUFFC.2024.3475033","url":null,"abstract":"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.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"71 11","pages":"1440-1450"},"PeriodicalIF":3.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142400144","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}

{"title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control Publication Information","authors":"","doi":"10.1109/TUFFC.2024.3466751","DOIUrl":"https://doi.org/10.1109/TUFFC.2024.3466751","url":null,"abstract":"","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"71 10","pages":"C2-C2"},"PeriodicalIF":3.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10713316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142408825","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}

{"title":"Histotripsy-Induced Bactericidal Activity Correlates to Size of Cavitation Cloud In Vitro","authors":"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","doi":"10.1109/TUFFC.2024.3476438","DOIUrl":"10.1109/TUFFC.2024.3476438","url":null,"abstract":"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 (\u0000<inline-formula> <tex-math>${R}^{{2}}=0.98$ </tex-math></inline-formula>\u0000), 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.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"71 12: Breaking the Resolution Barrier in Ultrasound","pages":"1868-1878"},"PeriodicalIF":3.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142390184","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}

{"title":"A Heterogeneous Ultrasound Open Scanner for the Real-Time Implementation of Computationally Demanding Imaging Methods","authors":"Giulio Bonciani;Francesco Guidi;Piero Tortoli;Claudio Giangrossi;Alessandro Dallai;Enrico Boni;Alessandro Ramalli","doi":"10.1109/TUFFC.2024.3474091","DOIUrl":"10.1109/TUFFC.2024.3474091","url":null,"abstract":"Ultrasound (US) 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 field programmable gate arrays (FPGAs)/digital signal processors (DSPs) or a graphics processing unit (GPU) on a host personal computer (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 (CP) GPU system-on-module (SoM). By carefully avoiding latencies and overheads through low-level optimization work, an efficient peripheral component interconnect express (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 (HFR) color flow mapping (CFM) 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 (HPF), 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 the US high-performance heterogeneous scanners.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 1","pages":"100-108"},"PeriodicalIF":3.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705337","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142375390","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}

{"title":"A Low Phase Jitter MEMS Oscillator With Centrally Anchored Piezoelectric Resonator for Wide Temperature Range Real-Time Clock Applications","authors":"Shubham Sahasrabudhe;Yaoyao Long;Zhenming Liu;Farrokh Ayazi","doi":"10.1109/TUFFC.2024.3472509","DOIUrl":"10.1109/TUFFC.2024.3472509","url":null,"abstract":"This article describes prototype temperature compensated piezoelectric MEMS oscillators operating in the wide temperature range from <inline-formula> <tex-math>$- 40~^{circ }$ </tex-math></inline-formula> C to <inline-formula> <tex-math>$85~^{circ }$ </tex-math></inline-formula> C for real-time clock (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 (IPJ) being <inline-formula> <tex-math>$10times $ </tex-math></inline-formula> 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 (WLP) capped MEMS resonator with the uncapped one, showing great potential for a high-performance low-power RTC oscillator.Index Terms—Automatic gain control (AGC), frequency compensation, low phase jitter, low phase noise, MEMS oscillator, piezoelectric MEMS, real-time clock (RTC), wafer-level packaging, wide temperature range.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"72 1","pages":"20-29"},"PeriodicalIF":3.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142365111","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}