Ishan V. Ramaiah, Paidamoyo J. Ewing, Y. Pishchalnikov, William M. Behnke-Parks
{"title":"Characterization of acoustic emissions in subharmonic frequency domain for detection and monitoring of therapeutic microbubble-mediated treatments","authors":"Ishan V. Ramaiah, Paidamoyo J. Ewing, Y. Pishchalnikov, William M. Behnke-Parks","doi":"10.1109/IUS54386.2022.9957835","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957835","url":null,"abstract":"We report on surface accumulating (SA) microbubbles designed to accumulate on surfaces of biomineralizations such as urinary stones and facilitate comminution through mechanical effects including inertial collapse and pressure focusing against the surface. In one current application of these engineered microbubbles, small quantities of engineered microbubbles, suspended in an aqueous solution, are placed in the patient's upper urinary tract via a cystoscopically positioned catheter and energized by quasi-collimated beams of acoustic energy emanating from a treatment head positioned extracorporeally. Non-invasive acoustic monitoring of microbubble dynamics and correlating returned signatures with treatment parameters presents a promising strategy for intra-treatment monitoring for improving clinical outcomes.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132082711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Combined use of Fresnel lens and holey-structrured metamaterial to obtain beam focus far from ultrasound source","authors":"F. Torres, N. Barniol, A. Uranga","doi":"10.1109/IUS54386.2022.9958158","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958158","url":null,"abstract":"This paper studies the feasibility to microfabricate the protective layer needed over the ultrasound sources combining Fresnel lens and holey-structured metamaterial for focusing and enhance resolution while providing protection to the ultrasound system.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132131264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Iterative Deconvolution Approach for Automatic Segmentation of Lung Ultrasound Vertical Artifacts","authors":"F. Mento, Mauro Gasperotti, L. Demi","doi":"10.1109/IUS54386.2022.9957536","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957536","url":null,"abstract":"Lung ultrasound (LUS) is an important imaging tool to evaluate the state of the lung surface. However, the presence of air does not allow the anatomical investigation of lungs. Indeed, clinicians currently base their analysis on the visual interpretation of imaging artifacts, such as the vertical ones, which are visualized in the image as hyper-echoic vertical artifacts and correlate with several pathologies. In this work, we present a technique aiming at automatically segmenting vertical artifacts by exploiting signal deconvolution. Specifically, we exploited the dependency of vertical artifacts on frequency, and used an iterative deconvolution technique to segment the artifacts in lung-mimicking phantoms and clinical data.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134110076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yihui Sui, Xingyi Guo, Junjin Yu, Dean Ta, Kailiang Xu
{"title":"Generative Adversarial Nets for Ultrafast Ultrasound Localization Microscopy Reconstruction","authors":"Yihui Sui, Xingyi Guo, Junjin Yu, Dean Ta, Kailiang Xu","doi":"10.1109/IUS54386.2022.9957566","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957566","url":null,"abstract":"Ultrafast ultrasound localization microscopy (u ULM) can be used to resolve deep vasculature down to a few micrometers. After microbubble localization over hundreds of thousands of images, accurate and efficient tracking of each individual microbubble over consecutive frames is one of the crucial issues for uULM reconstruction. Continuous long acquisition still limits its clinical application. In the study, a generative adversarial nets (GAN) based deep learning approach is developed to facilitate microbubble tracking and further reduce the acquisition time of uULM.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134532972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monica La Mura, A. Bagolini, P. Lamberti, A. Savoia
{"title":"Extreme value analysis of the impact of the effective gap tolerance on the acoustic transmit and receive performance of reverse-CMUT arrays","authors":"Monica La Mura, A. Bagolini, P. Lamberti, A. Savoia","doi":"10.1109/IUS54386.2022.9958299","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958299","url":null,"abstract":"We assess the impact of the fabrication-related variability of the thickness of the effective gap layers on the transmission (TX) and reception (RX) performance of a reverse-fabricated CMUT array by means of finite element analysis (FEA). The extreme values of the thickness of the passivation layers and of the cavity height, obtained by interferometry measurements during in-line wafer inspection, are applied to the simulated design of a reverse-fabricated CMUT array of circular cells. The analysis follows a 2-by-2 factorial approach to evaluate the variability of the TX and RX sensitivity amplitude, phase, and bandwidth caused by the fabrication tolerances, and compute the main effects and interactions of the effective gap layers.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133918026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Iman Taghavi, Mikkel Schou, Nathalie Sarup Panduro, S. Andersen, B. Tomov, Charlotte Mehlin Sørensen, M. Stuart, J. Jensen
{"title":"In vivo 3D Super-Resolution Ultrasound Imaging of a Rat Kidney using a Row-Column Array","authors":"Iman Taghavi, Mikkel Schou, Nathalie Sarup Panduro, S. Andersen, B. Tomov, Charlotte Mehlin Sørensen, M. Stuart, J. Jensen","doi":"10.1109/IUS54386.2022.9957892","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957892","url":null,"abstract":"Super-resolution ultrasound imaging (SRI) is a widely used technique for visualization of the microvasculature. The technique generally relies on long observation times if the smallest vessels have to be resolved. This makes it impractical for 3D imaging due to the large amounts of data required. Especially, matrix probes suffer from this, as the channel count is typically above 1024, which results in either a limited acquisition time or a greatly reduced frame rate. This work investigated the feasibility of using a row-column array (RCA) for 3D SRI. The 3D vascular tree of a Sprague Dawley rat kidney was imaged in a 26×26×40 mm3 volume using only 128 active elements in receive for a 6 MHz 128+128 Vermon RCA connected to a Verasonics Vantage 256™ scanner. Forty eight virtual sources with an amplitude modulated sequences were used to acquire 36 seconds of contrast-enhanced volumes. The data rate was 2.74 GBytes/s. Then, the 3D visualization of the vasculature was provided by localization of peaks in the acquired volumes. The estimated resolution using Fourier shell correlation for the reconstructed vasculature in this volume was 43 µm with half-bit and 61 µm with one-bit threshold, which was a factor of 6 below the wavelength (λ = 256 µm). In conclusion, the study showed the feasibility of super-resolution vascular imaging of a rat kidney using a RCA.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134297576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cannula Localization Using Separate Plane Wave Ultrasound Measurements and a Deep Neural Network","authors":"Mariam M. Fouad, Stefanic Dencks, G. Schmitz","doi":"10.1109/IUS54386.2022.9957365","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957365","url":null,"abstract":"Sonography is commonly used to monitor the insertion of a cannula into human tissue. However, good visibility in B-mode images is rarely guaranteed, especially with deep punctures and steep insertion angles. In previous work, we showed that resonance effects in the cannula can be observed in the received signals [1]. However, these nonlinear effects are not exploited in conventional ultrasound imaging. We hypothesize that the utilization of deep neural networks is particularly suitable to process this nonlinear cannula-related information. Moreover, we presume that the exploitation of different information found in different plane waves could enhance the localization of the cannula compared to the direct utilization of compounded B-mode images. Therefore, a deep learning-based framework capable of extracting the information provided by the separate plane waves is employed to enhance the localization of the shaft and tip of the cannula. The implemented architecture is based on a modified U-Net architecture. It predicts the position of the cannula from three different input scenarios: compounded B-mode images, separate plane wave B-mode images (3 angles), and separate plane wave B-mode images combined with their difference images. The model was first trained on data acquired in a water bath and then fine-tuned on a porcine dataset. This way, even with a comparatively small dataset, it was possible to achieve faster convergence and better localization results. Using separate plane wave B-mode images and their difference images substantially improved the visualization of the cannula by achieving 4.5-times lower tip localization error (measured by calculating the mean absolute difference between the true and the predicted tip location) and improving the estimation of the puncture angle by 30.6% (measured by calculating the mean absolute difference between the true and the predicted puncture angles) compared to the direct utilization of compounded B-mode images.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131706350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Derayatifar, Mohsen Habibi, R. Bhat, M. Packirisamy
{"title":"Influence of 3D printing parameters on acoustic properties of metamaterials","authors":"M. Derayatifar, Mohsen Habibi, R. Bhat, M. Packirisamy","doi":"10.1109/IUS54386.2022.9957428","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957428","url":null,"abstract":"Acoustic metamaterials such as transmission phase plates have the invaluable capability of manipulating the wavefront. Due to their subwavelength architected features, they have greatly benefitted from the power of 3D printing techniques. However, a detailed investigation of the acoustic capabilities of the 3D printed acoustic metamaterials is necessary, especially for applications such as high-power acoustic. In this paper, we showed that other than the material properties, printing parameter is also affecting the acoustic performance of the metamaterial, which can increase the efficiency of the acoustic energy transfer.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131750291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of Edge Profile for Improved Anti-Resonance Quality Factor in Lithium Niobate SH0 Resonators","authors":"Silvan Stettler, L. Villanueva","doi":"10.1109/IUS54386.2022.9957511","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957511","url":null,"abstract":"Thin-film lithium niobate (LNO) has been identified as a promising material platform for enabling high electromechanical coupling and low-loss piezoelectric resonators for filtering applications. In this work, the design and fabrication of fundamental shear horizontal (SHO) mode resonators with a resonance frequency of 1.1 GHz are reported. Initial devices show high losses leading to low quality factor at anti-resonance due to undesired redeposition debris originating from Ion Beam Etching (IBE) of the resonator sidewalls. Methods to improve the quality of the resonator sidewalls and minimize those losses are presented. With those improvements, SHO resonators with high electromechanical coupling $(k_{eff}^{2}$ = 28%) and impedance ratios larger than 104 could be achieved.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133095987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Harry R. Clegg, T. Carpenter, S. Freear, David M. J. Cowell
{"title":"An Open, Modular, Ultrasound Digitial Signal Processing Specification","authors":"Harry R. Clegg, T. Carpenter, S. Freear, David M. J. Cowell","doi":"10.1109/IUS54386.2022.9957486","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957486","url":null,"abstract":"Digital signal processing is used in almost all ultrasound research with groups tending to develop their own software, using different data formats and programming languages. Existing works demonstrate open approaches to digital signal processing, such as the Ultrasound File Format based UltraSound ToolBox. Such tools are highly valuable as they ease collaboration and improve reproducibility, but they tend to be tailored to a specific application and may not translate easily to other ultrasound tasks and modalities. As DSP problems are often drawn from a pool of common operations, this work aims to develop an approach using smaller modules to allow greater flexibility. A specification defining a combined processing framework and data format is presented. Existing implementations are presented in both MATLAB and C++, and some of the features the platform enables are discussed. The proposed specification and implementations are intended to be open source and to allow extensive collaboration between groups.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132608774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}