Pub Date : 2025-01-31DOI: 10.1109/OJUFFC.2025.3537476
{"title":"2024 Index IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control Vol. 4","authors":"","doi":"10.1109/OJUFFC.2025.3537476","DOIUrl":"https://doi.org/10.1109/OJUFFC.2025.3537476","url":null,"abstract":"","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"4 ","pages":"247-254"},"PeriodicalIF":0.0,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10864476","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-15DOI: 10.1109/OJUFFC.2025.3530395
Pooriya Navaeilavasani;Daler Rakhmatov
Ultrafast ultrasound imaging based on coherent plane-wave compounding (CPWC) enables very high data acquisition rates in the order of thousands of frames per second. This capability allows the user to capture and characterize fast-changing dynamics of blood flow or tissue motion, thus facilitating advanced biomedical diagnostics. Fast data acquisition should be supported by high image reconstruction rates, which translates into significant computational demands. To address this issue, several state-of-the-art hardware accelerators for CPWC image reconstruction, or beamforming, have been reported in the literature. They primarily target time-domain methods based on delay-and-sum (DAS) beamforming. For the first time, this article proposes a novel hardware architecture for accelerating Fourier-domain image reconstruction, based on an efficient migration technique from geophysics. Our FPGA implementation of one specific architectural instance achieves the reconstruction throughput of 1,380 frames per second (without compounding), where each complex-valued “analytic” image frame consists of $2048times 128~64$ -bit data samples. The presented work also aims to motivate further research into hardware support for Fourier-domain migration. This technique is asymptotically faster than conventional DAS beamforming; however, its efficient hardware realization is challenging, partly due to its relatively large memory footprint.
{"title":"Accelerator Architecture for Plane-Wave Ultrasound Image Reconstruction in Fourier Domain","authors":"Pooriya Navaeilavasani;Daler Rakhmatov","doi":"10.1109/OJUFFC.2025.3530395","DOIUrl":"https://doi.org/10.1109/OJUFFC.2025.3530395","url":null,"abstract":"Ultrafast ultrasound imaging based on coherent plane-wave compounding (CPWC) enables very high data acquisition rates in the order of thousands of frames per second. This capability allows the user to capture and characterize fast-changing dynamics of blood flow or tissue motion, thus facilitating advanced biomedical diagnostics. Fast data acquisition should be supported by high image reconstruction rates, which translates into significant computational demands. To address this issue, several state-of-the-art hardware accelerators for CPWC image reconstruction, or beamforming, have been reported in the literature. They primarily target time-domain methods based on delay-and-sum (DAS) beamforming. For the first time, this article proposes a novel hardware architecture for accelerating Fourier-domain image reconstruction, based on an efficient migration technique from geophysics. Our FPGA implementation of one specific architectural instance achieves the reconstruction throughput of 1,380 frames per second (without compounding), where each complex-valued “analytic” image frame consists of <inline-formula> <tex-math>$2048times 128~64$ </tex-math></inline-formula>-bit data samples. The presented work also aims to motivate further research into hardware support for Fourier-domain migration. This technique is asymptotically faster than conventional DAS beamforming; however, its efficient hardware realization is challenging, partly due to its relatively large memory footprint.","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"4 ","pages":"231-246"},"PeriodicalIF":0.0,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10843301","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-07DOI: 10.1109/OJUFFC.2025.3525767
{"title":"IEEE OPEN JOURNAL OF ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL","authors":"","doi":"10.1109/OJUFFC.2025.3525767","DOIUrl":"https://doi.org/10.1109/OJUFFC.2025.3525767","url":null,"abstract":"","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"4 ","pages":"C2-C2"},"PeriodicalIF":0.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10832403","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1109/OJUFFC.2025.3526123
Martin Angerer;Jonas Welsch;Carlos D. Gerardo;Edmond Cretu;Robert Rohling
This paper introduces a hybrid modeling approach to accurately predict the performance of polymer-based Capacitive Micromachined Ultrasonic Transducers (polyCMUTs) by coupling finite element analysis (FEA) with analytical methods. The coupled FEA and analytical (CFA) model integrates characteristics from a single-cell FEA into a multi-cell equivalent circuit. Acoustic cross-coupling between cells is considered using analytical methods, and the acoustic far-field is computed via the Rayleigh integral. We validated the model on rectangular designs with 11x11 cells and varying cell-to-cell pitches. CFA results showed in average less than 7% deviation from full FEA in terms of center frequency, fractional bandwidth, and peak sensitivity, while requiring less than 1% of the computation time. We also observed good agreements with measurements, with a deviation of 17% for the rectangular designs and less than 4% for a larger linear array element (428 cells) we recently produced. This makes the CFA model a powerful tool for fast design exploration and optimization of CMUTs.
{"title":"Accurately Predicting the Performance of Polymer-Based CMUTs by Coupling Finite-Element and Analytical Models","authors":"Martin Angerer;Jonas Welsch;Carlos D. Gerardo;Edmond Cretu;Robert Rohling","doi":"10.1109/OJUFFC.2025.3526123","DOIUrl":"https://doi.org/10.1109/OJUFFC.2025.3526123","url":null,"abstract":"This paper introduces a hybrid modeling approach to accurately predict the performance of polymer-based Capacitive Micromachined Ultrasonic Transducers (polyCMUTs) by coupling finite element analysis (FEA) with analytical methods. The coupled FEA and analytical (CFA) model integrates characteristics from a single-cell FEA into a multi-cell equivalent circuit. Acoustic cross-coupling between cells is considered using analytical methods, and the acoustic far-field is computed via the Rayleigh integral. We validated the model on rectangular designs with 11x11 cells and varying cell-to-cell pitches. CFA results showed in average less than 7% deviation from full FEA in terms of center frequency, fractional bandwidth, and peak sensitivity, while requiring less than 1% of the computation time. We also observed good agreements with measurements, with a deviation of 17% for the rectangular designs and less than 4% for a larger linear array element (428 cells) we recently produced. This makes the CFA model a powerful tool for fast design exploration and optimization of CMUTs.","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"4 ","pages":"227-230"},"PeriodicalIF":0.0,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10824871","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142992838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-19DOI: 10.1109/OJUFFC.2024.3520516
Sabiq Muhtadi;Caterina M. Gallippi
This study evaluates the potential for interrogating the Young’s elastic moduli in anisotropic media, including tissue, using Viscoelastic Response (VisR) ultrasound. VisR is an on-axis acoustic radiation force (ARF)-based elasticity imaging method that has been demonstrated previously for assessing the shear elastic moduli of transversely isotropic (TI) materials when the applied ARF excitation was incident normal to the axis of symmetry (AoS). It is hypothesized that by applying a range of non-normal ARF excitations and monitoring the percent change in VisR-derived relative elasticity (RE) versus ARF-AoS incidence angle, both the shear and the Young’s elastic moduli may be interrogated. The hypothesis was tested using in silico experiments, which showed that while RE measured at normal ARF-AoS incidence was related to only longitudinal shear modulus ( ${boldsymbol{{mu }_{L}}}$