A. Zimbico, F. Schneider, J. Maia, L. Neves, Felipe Meira Ribas, A. Assef, Nivaldo T. Schiefler, E. Costa
{"title":"Improving the Image Resolution in Diverging Wave Compounding Using the Sparse Arrays Method Combined with the Minimum Variance","authors":"A. Zimbico, F. Schneider, J. Maia, L. Neves, Felipe Meira Ribas, A. Assef, Nivaldo T. Schiefler, E. Costa","doi":"10.1109/LAUS53676.2021.9639148","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639148","url":null,"abstract":"In the field of ultrasound ultrafast imaging for biomedical applications, Diverging Wave Compounding (DWC) represents an emerging ultrasound modality and is gaining special attention in the research community. Among different applications, this modality presents the potential of trucking deepest moving structures in cardiac applications and transient elastography. The standard DWC is realized in larger arrays which lead to improved resolution at the cost of increased data size and the complexity of electronics to receive and perform fast data processing. Therefore, the Sparse Arrays (SA) method leads to reducing the number of receiving channels while producing high-quality images. In this work, we explore the abilities of the SA combined with the Minimum Variance (MV) to improve data rate while providing high-quality images in DWC. The simulated media of 22 scatterers was built using Field II and therefore, illuminated with different tilted DWC using a linear array L11-4v, 5.2 MHz and, the sampling frequency of 40.6 MHz. For adaptive processing, using the proposed methods, the emission was performed using different modes to sparsely activate the elements of the transducer. A total amount of 31 firing elements (FE) were taken as a reference when using the Delay and Sum (DAS) method. However, only three FE were considered for adaptive processing using the MV and the SA combined with the MV method (S-MV). The proposed beamformers were benchmarked for performance evaluation using the averaged Full Width at Half Maximum (FWHM) at both directions (i.e., lateral and axial). It was found that the spatial resolution provided by the S-MV65 is close or higher compared to that provided by DAS 31 FE. Moreover, the deeper scatterers were better resolved. The spatial resolution improved when compared to that provided by the standard DAS. The proposed methodology allows reducing the number of activated transducer elements and, therefore, the amount of data required to form the image while providing closer or superior spatial resolution.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123431588","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}
Júlio Cesar Eduardo de Souza, V. Prado, Ó. Martínez-Graullera, R. Higuti
{"title":"A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function","authors":"Júlio Cesar Eduardo de Souza, V. Prado, Ó. Martínez-Graullera, R. Higuti","doi":"10.1109/LAUS53676.2021.9639116","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639116","url":null,"abstract":"This work proposes a new fitness function for sparse linear array design using the Point Spread Function (PSF), where the energy and entropy are combined. The Arithmetic optimization Algorithm is used as a search mechanism, and a new strategy to find sparse linear configurations is proposed. This new strategy eliminates the necessity of penalization functions to control the number of elements in sparse arrays. The algorithm is used to find two sparse linear arrays, one using a fitness function based on the radiation pattern, and the other with the proposed fitness function. Comparing the results, the configuration found using the proposed fitness function presented better lateral resolution and contrast.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121090949","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":"Modeling thermometry image perturbations during photoacoustic imaging-guided photothermal therapy","authors":"M. C. Tenorio, Diego S. Dumani","doi":"10.1109/LAUS53676.2021.9639142","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639142","url":null,"abstract":"During hyperthermia treatments, temperature monitoring is needed to prevent overheating, which could cause evaporation and carbonization of tissue, and to focus, as much as possible, the thermal damage on the targeted tissue. Photoacoustic (PA) imaging has been shown to be able to monitor temperature during hyperthermia treatments. However, the accuracy of the monitoring can be reduced as image perturbations accumulate over time. In this work, we model perturbations that may occur during photoacoustic thermometry, with the goal of developing compensation algorithms to achieve more reliable images. The model consists of tumor tissue undergoing laser photothermal therapy (PTT) and the perturbations introduced in the model were tissue movement and external noise. This work represents the first step towards a perturbation-compensated photoacoustic thermometry algorithm.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117073420","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":"Temperature Control of the Focal Point of Focused Ultrasound Excitation Using Neural Network Approach","authors":"Xilun Liu, M. Almekkawy","doi":"10.1109/LAUS53676.2021.9639179","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639179","url":null,"abstract":"High intensity focused ultrasound (HIFU), as a viable thermal tissue ablation approach, has recently increased its popularity. During the ablation process, the temperature rapidly increases and reaches above physiological normal temperature. The temperature versus time history is given by solving the bio-heat transfer equation (BHTE) with the initial condition and boundary conditions. Instead of using the traditional mesh-based algorithm, we introduce a physics-informed neural network (PINN) to solve the inverse control problem. In this work, unknown magnitudes of the deposition power can be estimated during the training process to ensure that the magnitude values can raise up to a predetermined temperature value at the target region.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114281257","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}
J. P. Gaviria-Cardona, Michael Guzman-De, Las Salas, W. Florez-Escobar, Raul Valencia-Cardona, th Hader, Vladimir Martinez
{"title":"Ultrasound simulation technique as state-of-health estimation method of lithium-ion batteries","authors":"J. P. Gaviria-Cardona, Michael Guzman-De, Las Salas, W. Florez-Escobar, Raul Valencia-Cardona, th Hader, Vladimir Martinez","doi":"10.31224/osf.io/5d2r7","DOIUrl":"https://doi.org/10.31224/osf.io/5d2r7","url":null,"abstract":"Ultrasound is a non-destructive technique recently proposed to estimate Lithium-ion batteries degradation. However, recent research has been devoted towards understanding the physical phenomena behind the ultrasonic wave propagation through a Lithium-ion battery. To achieve this, the second-order-scalar elastic and acoustic wave equations are solved with explicit and implicit finite difference method, considering the interfaces between materials with different physical properties. Results showed that implicit method presents less noise than the explicit scheme. In addition, changes in the physical properties of battery materials that occur in charge and discharge processes, highly affect the ultrasonic wave propagation inside the battery. Finally, this study demonstrates the feasibility of using numerical methods as a precursor of battery degradation estimator.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127544885","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}
L. Neves, J. Maia, A. Zimbico, Felipe Meira Ribas, A. Assef, F. Schneider, E. Costa
{"title":"Implementation of Eigenspace Beamformer combined with Generalized Sidelobe Canceler and Filters for Generating Plane Wave Ultrasound Image","authors":"L. Neves, J. Maia, A. Zimbico, Felipe Meira Ribas, A. Assef, F. Schneider, E. Costa","doi":"10.1109/LAUS53676.2021.9639107","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639107","url":null,"abstract":"The use of plane waves allows images with higher frame rates compared to conventional modes. Thus, new processing techniques are studied in order to improve the planewave image quality. The use of the Eigenspace Beamformer technique associated with the Generalized Sidelobe Canceler (EBGSC) reduces the effects of interference and noise, minimizing sidelobes and providing images with higher contrast and resolution compared to the Delay and Sum (DAS) and the Minimum Variance (MV) methods. Filters can also be applied after image processing to reduce speckle signals present in ultrasound images such as the Wiener and Kuan filter. This work presents the implementation of the EBGSC method with Wiener and Kuan filters to improve the processing of plane wave ultrasound images. The EBGSC method combined with Wiener filter (EBGSC-W) showed an improvement in the contrast of 70 % and 57.2 % when compared to the DAS and GSC methods, respectively. The geometric distortion was evaluated using the parameter of the full width at half maximum (FWHM) and the EBGSC-W also obtained a reduction in lateral FWHM by 63 % and 25 % compared to the DAS and GSC methods, respectively, approaching to the actual value of the target size (0.1 mm). The EBGSC method with the Kuan filter (EBGSC-K) showed improvements in the lateral FWHM, however, it worsened the contrast, with loss of information.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129371468","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":"Using Ultrasonic Oscillating Temperature Sensors (UOTSes) to Measure Aggregate temperatures in Liquid and Gaseous Media","authors":"Ali Elyounsi, A. Kalashnikov","doi":"10.1109/LAUS53676.2021.9639196","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639196","url":null,"abstract":"An ultrasonic oscillating temperature sensor (UOTS) features a pair of ultrasonic transducers and an amplifier, which compensates for the energy losses in the signal pathway. An UOTS oscillates with frequency, which is related to the ultrasound velocity in the medium between the transducers, which, in turn, depends on the medium’s temperature. In this paper, we discuss our past experiments with UOTSs in aqueous media and the initial results of a feasibility study on the use of an UOTS in air.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122445179","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":"Surface Wave Characterization in Soft Solids Using Ultrafast Ultrasound Imaging","authors":"Héctor Alarcón, David Espíndola","doi":"10.1109/LAUS53676.2021.9639200","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639200","url":null,"abstract":"Soft solid incompressible materials support the propagation of longitudinal, shear, and surface waves. The latest is the least studied among all. In this work, we reported experimentally the direct observation of planar surface waves propagating at the free interface of a bovine gelatin sample, using ultrafast ultrasound imaging at a frame rate of 10000 frames per second. Employing a 1D+1D correlation-based tracking algorithm, operating over the RF-data high frame-rate movie, maps of the two-dimensional inter-frame displacement were computed. In agreement with theoretical prediction, it has been measured that surface waves produce particle movement along the axial direction as well as the direction of propagation, in a combination that the local trajectory followed by the material is ellipsoidal. Additionally, the wave energy appears highly concentrated at the surface. The motion produced by the wave was characterized as a function of the frequency, obtaining a power-law (with an exponent of 0. 1S) as a dispersion relation. Our results are compatible with the theoretical prediction given by Currie et al in [1], [2], more than forty years ago, in which two different surface waves can be propagated within the gelatin sample when a viscoelastic material is considered.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115323553","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":"Information theoretical measures from ultrasound data for human motion understanding","authors":"M. H. Jahanandish, Lokesh Basavarajappa, K. Hoyt","doi":"10.1109/LAUS53676.2021.9639217","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639217","url":null,"abstract":"Noninvasive ultrasound (US) sensing has been recently introduced as an intuitive human-machine interface. Most research to date has focused on using US images of muscle to predict human movement intentions. However, the richness of unprocessed US signals as a source of neuromuscular information may have been left unnoticed. In the present study, we investigate the feasibility of using unprocessed US signals of muscle tissue to continuously predict knee motion kinematics during seated knee flexion/extension and sit-to-stand movements. Unprocessed US signals were compared to US images using a mutual information analysis to quantify the information gained from each of these US data forms about knee motion. The motion prediction accuracy of unprocessed US signals was compared to motion prediction accuracy of US images. It was observed that a statistically comparable amount of information can be gained from both US data forms $(plt 0.05)$. The prediction accuracies were also statistically comparable $(plt 0.05)$, and average root mean squared error for knee angle prediction was 1.66° when using unprocessed US signals compared to 2.25° when using US images. Noteworthy, the computation speed was around 33 frames per second (FPS) when using US images compared to 251 FPS when using unprocessed US signals. Overall, this study highlights the promise of unprocessed US signals as a source of neuromuscular information for human motion prediction in real-time, while omitting the signal processing steps required to reconstruct the US images and the associated engineering sophistication, facilitating the future integration of US sensing as a human-machine interface.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117171146","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":"Focal Size Reduction and Displacement in a Single-Element Biaxial Ring Transducer at 510 kHz and 1.66 MHz","authors":"Sagid Delgado, L. Curiel, S. Pichardo","doi":"10.1109/LAUS53676.2021.9639158","DOIUrl":"https://doi.org/10.1109/LAUS53676.2021.9639158","url":null,"abstract":"The biaxial driving method is a technique where a transducer is driven by the application of two orthogonal dephased electric fields. It has been demonstrated that biaxial driving produces a steering response and an improved focalization on single-element transducers as a function of the phase and power applied between the electric fields. In this study, we present the capability of this method to reduce the focal area up to 66% and to produce a controlled focal displacement of 8 mm at different frequencies in a single-element PZT ring transducer.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126610160","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}