2022 IEEE International Ultrasonics Symposium (IUS)最新文献

{"title":"Myocardial Elastography for Evaluating the Evolution of Strains and Strain Rates in Canine Myocardium After Myocardial Infarction","authors":"Yik Tung Tracy Ling, Vincent Sayseng, E. Konofagou","doi":"10.1109/IUS54386.2022.9957783","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957783","url":null,"abstract":"Myocardial infarction (MI) is caused by occlusion of the coronary artery and can rapidly lead to death, 36% of patients die within 1 month of their first MI. Traditional ECG diagnosis has shown a poor correlation to the degree of MI. Understanding the dysfunction and recovery in myocardial motion following MI using myocardial elastography (ME) may inform future diagnosis and treatment for MI. Ten mongrel canines underwent a ligation procedure at the proximal LAD site for inducing infarction in the papillary and apical levels of the hearts. Transthoracic ultrasound images were taken before and up to 31 days after the ligation procedure. Strain and structural parameters including maximum principal strain (Emax) and maximum shear strain (Gmax), radial strain (Err), circumferential strain (Eθθ), and their strain rates were measured. Territorial differences in strains were also compared. Strain and strain rates in LAD of the apical level were most affected after MI (Fig 3). All strains decreased at the acute MI stage but recovered to the baseline level at the remodeling stage. Eθθ rate also recovered at the remodeling stage after decreasing in magnitude at the acute stage. However, Gmax, Emax and Err rates decreased after MI and remained low throughout the stages of recovery. Territorial strain and strain rates were able to inform the recovery stages as well as the location of dysfunction following MI. This study showed that ME could inform the diagnosis and treatment progression of acute MI.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"9 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":"121909041","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":"Measurement of Lateral and Axial Blood Flow Velocity Components of the Mouse Spinal Cord Microvasculature Using High Frequency Ultrafast Imaging","authors":"Bowen Jing, Dario I. Carrasco, N. A. Yong, B. Lindsey","doi":"10.1109/IUS54386.2022.9957802","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957802","url":null,"abstract":"Approximately 250k to 500k individuals are newly afflicted with spinal cord injuries (SCI) globally each year. There is growing evidence that blood perfusion deficits in microvasculature may be a promising therapeutic target for rescuing injured nervous tissue and enhancing neuronal function. Various approaches have been developed to improve the blood perfusion after injury. However, validation of these approaches requires longitudinal assessment of blood perfusion in animal models. Therefore, we propose a new method to quantify blood flow velocity in both the axial and lateral directions in microvasculature using high frequency ultrasound. Results show that vessels having different blood flow directions can be identified in the axial and lateral blood flow velocity maps of the spinal cord. The peak blood flow velocity of the artery reaches −8.3 mm/s in the $z$ direction (transverse to the spinal cord), and 25.8 mm/s in the $x$ direction (along the spinal cord), with a pulse rate of approximately 600 beats per minutes. These results indicate that the proposed high frequency ultrasound velocimetry approach can be used to measure the 2D blood flow velocity of the mouse spinal cord, which could be used to quantify spinal hemodynamic response for SCI therapeutic development.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"10 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":"121971105","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":"Effect of Tapered Angle on BAW Transducer Performance for Ultrasonic Wavefront Computing","authors":"Zaifeng Yang, Xing Haw Marvin Tan, V. P. Bui, Daniel Ssu-Han Chen, K. Chai, C. Png, A. Lal","doi":"10.1109/IUS54386.2022.9957308","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957308","url":null,"abstract":"Fourier Transform (FT) is one of the most extensively used scientific computations for signal/image processing. Recently, an emerging highly efficient ultrasonic wavefront computing (WFC) technique was developed to compute the Fast Fourier Transform (FFT) physically using bulk acoustic wave (BAW) piezoelectric transducers and a Fresnel lens. Typically, cuboid shapes are used for BAW transducers to model the ultrasonic WFC system. However, the shape of such transducers is usually non-uniformly tapered due to the fabrication process. In this paper, we investigate the effect of different tapered angles on BAW transducers for ultrasonic WFC system using full-wave simulation, in particular, the errors of the WFC computed FFT due to having transducers with tapered angles varying from 0 to 60 degrees. The simulation results show that the average pressure field of a single transducer at the observation plane decreases as the tapered angle increases. In addition, larger errors of the WFC computed FFT results occur when the tapered angles of the transducer array become larger. Therefore, the effect of the tapered angle on BAW transducers should be considered for more accurate ultrasonic WFC computed FFT.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"91 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":"123976687","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":"CLA-U-Net: Convolutional Long-short-term-memory Attention-gated U-Net for Automatic Segmentation of the Left Ventricle in 2-D Echocardiograms","authors":"Zihan Lin, P. Tsui, Yan Zeng, Guangyu Bin, Shuicai Wu, Zhuhuang Zhou","doi":"10.1109/IUS54386.2022.9958784","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958784","url":null,"abstract":"Left ventricular ejection fraction is one of the important indices to evaluate cardiac function. Manual segmentation of the left ventricle (LV) in 2-D echocardiograms is tedious and time-consuming. We proposed a deep learning method called convolutional long-short-term-memory attention-gated U-Net (CLA-U-Net) for automatic segmentation of the LV in 2-D echocardiograms. The CLA-U-Net model was trained and tested using the EchoNet-Dynamic dataset. The dataset contained 9984 annotated echocardiogram videos (training set: 7456; validation set: 1296; test set 1232). The model was also tested on a private clinical dataset of 20 echocardiogram videos. U-Net was used as the basic encoder and decoder structure, and some very useful structures were designed. In the encoding part, we incorporated a convolutional long-short-term-memory (C-LSTM) block to guide the network to capture the temporal information between frames in the videos. In addition, we replaced the skip-connection structure of the original U-Net with a channel attention mechanism, which can amplify the desired feature signals and suppress the noise. With the proposed CLA-U-Net, the LV was segmented automatically on the EchoNet-Dynamic test set, and a Dice similarity coefficient (DSC) of 0.9311 was obtained. The DSC obtained by the DeepLabV3 network was 0.9236. The hyperparameters of CLA-U-Net were only 19.9 MB, reduced by ~91.6% as compared with DeepLabV3 network. For the private clinical dataset, a DSC of 0.9192 was obtained. Our CLA-U-Net achieved a desirable LV segmentation accuracy, with a lower amount of hyperparameters. The CLA-U-Net may be used as a new lightweight deep learning method for automatic LV segmentation in 2-D echocardiograms.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"45 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":"128327416","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":"Photoacoustic Detection of Nuclei Acid-Containing Water Droplets","authors":"Tae-Hoon Bok, E. Strohm, K. Sathiyamoorthy, Michael C. Kolios","doi":"10.1109/IUS54386.2022.9958443","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958443","url":null,"abstract":"It has been reported that the transmission route of SARS-CoV-2 is due to the transport and evolution of pathogen-containing aerosols and droplets. Detecting virus-laden aerosols and droplets could be valuable in reducing the pandemic of COVID-19. Coronaviruses have positive-sense single-stranded RNA (ssRNA) genomes. In this study, we explore the feasibility of photoacoustic (PA) detection of nucleic acid (NA) containing water droplets to model recent results acquired in our laboratory. A two-dimensional NA-containing water droplet model was implemented with randomly positioned water droplets. The diameter of water droplets was randomly distributed from 1 to 60 µm. The NA particles, simulating viral particles, were randomly positioned with the same number concentration (NC). Four different NCs were independently applied to investigate the effect of the NCs of NA particles on the PA signal generation. Monte-Carlo simulations were implemented using one million transmitted photons and a collimated laser beam (wavelengths from 100 to 370 nm). PA signals were computed based on Green's function approach, incorporating the directivity and the band limit of a single-element 300 kHz ultrasound transducer used in the experiments. The P A power was computed by using a root-mean-square. As a result, the total energy deposition increased with the NC of DNA at 260 nm, increasing the PA power. For 209 nm and 298 nm, on the other hand, the PA powers were the same regardless of the NCs of NA. This simulation study can provide insights into the PA sensing of viruses within aerosolized droplets.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"18 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":"127274456","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":"WULPUS: a Wearable Ultra Low-Power Ultrasound probe for multi-day monitoring of carotid artery and muscle activity","authors":"Sebastian Frey, S. Vostrikov, L. Benini, A. Cossettini","doi":"10.1109/IUS54386.2022.9958156","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958156","url":null,"abstract":"Ultrasound (US) is a promising tool for non-invasive, continuous monitoring of deep and superficial human body structures. Recent research advances demonstrated the applicability of A-mode US for blood flow monitoring, prostheses control, and muscle activity classification. However, despite the growing interest and progress in wearable US, existing commercial and academic research platforms do not yet offer all the key functionalities and performance metrics for wearable, configurable continuous monitoring of physiological parameters, at the same time offering access to raw data (to sustain the development of novel machine learning approaches on heterogeneous US applications). To overcome these limitations, we present WULPUS, a truly wearable ultra-low-power US open research platform. WULPUS consumes less than 25 mW, comes in a compact design (46×25 mm, 13 g), and offers an energy-efficient wireless communication link (Bluetooth low-energy) to commodity devices. The probe features 8 time-multiplexed channels, supports up to 50 Hz frame rate (FR), and provides access to raw US data, facilitating algorithm development for automated analysis.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"22 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":"130180321","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":"Power spectrum equalized passive acoustic mapping","authors":"Chunqi Li, Harry R. Clegg, T. Carpenter, D. Cowell, S. Freear, J. Mclaughlan","doi":"10.1109/IUS54386.2022.9958652","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958652","url":null,"abstract":"Passive acoustic mapping (PAM) is a technique to monitor and discern the nature of acoustic emissions with functions of source localization and dose calculation. Two general concerns along with functions of PAM refer to its limited resolution for localization and worldwide inconsistent consensus about data calibration for quantitative dose analyzing via experimental way. Alleviating the point spread function (PSF) of PAM could maximally mitigate the system disturbance, and therefore to benefit the data calibration while enhance the output performance. Power spectrum equalized based techniques such as the sphering transformation and deconvolution have been used in active ultrasound modes to restore true images [1]. In this study, a Cepstrum-based Time Exposure Acoustics (TEA) deconvolution method (CTEA) was proposed into PAM, building on TEA beamformer (BF) to discuss the final image quality performance and energy consistency. All the BF calculations were boosted by paralleled-running benchmark and matrix-beamforming techniques through high-performance computer cluster for computation simplicity, and the results from TEA and CTEA were adapted into polar coordinate with flexible field of view then verified with own set simulation and experimental data.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"44 7 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":"125685317","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":"Inspection of Multilayered Electronic Devices via Scanning Acoustic Microscopy Using Synthetic Aperture Focusing Technique","authors":"M. Wolf, P. Hoffrogge, E. Kühnicke, P. Czurratis, C. Kupsch","doi":"10.1109/IUS54386.2022.9957928","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957928","url":null,"abstract":"Scanning acoustic microscopy (SAM) is a standard tool for the inspection of electronic devices. Modern devices can contain many interfaces, complex structures and various sub-devices in different height levels. Especially for safety relevant devices a full inspection of all these devices is needed. Current test strategies are compromising between the inspection time and the probabiltiy of failure detection. To improve the detection capabilities of SAM on modern electronic devices, Synthetic Aperture Focusing Technique (SAFT) is investigated in this paper. Several overlapping measurements of the same reconstruction point in a volume are combined to yield a large synthetic aperture with a narrow synthetic beam, yielding depth independent high lateral resolution and dynamic focusing. SAFT is commonly used in medical ultrasound or in non-destructive testing, e.g., for detecting crack tips, but has hardly been applied to SAM yet. Scan data is recorded with a scanning acoustic microscope for reference samples (polycarbonate block with drilled holes) utilizing a focused transducers with center frequency of 15 MHz. The focus is placed on the sample surface to generate the virtual point source and by this a wide opening angle in the sample. Reconstruction is performed in frequency domain as well as in time domain and different directivity patterns are examined. The comparison of the results on the reference sample shows the strengths and weaknesses of the different reconstruction methods. For real electronic samples the choice of the method strongly depends on the sample structure and the defect to be detected.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"8 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":"132504144","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":"Automated parameter selection for super-resolution ultrasound image processing using statistics of fast and slow time sampling","authors":"Katherine G. Brown, K. Hoyt","doi":"10.1109/IUS54386.2022.9958304","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958304","url":null,"abstract":"Recent advances in the field of contrast-enhanced ultrasound (US) have led to the development of super-resolution US (SRUS) imaging for improved spatial resolution by up to an order of magnitude. Variations in US system settings and microbubble (MB) contrast agent properties can lead to differences in image stacks that force a need to fine tune multiple SRUS image processing parameters. Current SRUS algorithms require expertise to tune the numerous parameters that influence achievement of optimal image results. Thus, there is a need for automated selection of SRUS parameters for both MB detection and localization, which are two critical steps in the image formation process. To that end, the purpose of this research was to develop novel methods to automate selection of spatiotemporal filtering parameters for MB detection and thresholding levels used for subsequent localization. Simulations provided synthetic US data at various signal-to-noise ratios (SNRs) and tissue clutter signal levels. US images with MB flow in crossing channels against a background of tissue were produced. Statistics of both fast and slow time sampling of the US image stacks were used to select cutoffs for singular value decomposition (SVD) filtering and then thresholds for MB localization. In addition, in vivo datasets from liver cancer-bearing rats were used to evaluate SRUS image quality from use of automatic parameter selection. Contrast-enhanced US imaging was performed with a preclinical system (Vevo 3100, FUJIFILM VisualSonics Inc) equipped with a 15 MHz linear array transducer. Raw image data was collected and analyzed offline using custom software. With more challenging levels of SNR and tissue clutter content, automated parameter selection for SRUS resulted in a considerable improvement in positive predictive value (PPV) with similar levels of sensitivity and localization accuracy as compared to conventional fixed parameter settings. For the in vivo US data, our novel image processing methods created highly detailed spatial maps of the tumor microvasculature.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"50 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":"132865055","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":"Integrated Photoacoustic Pen for Breast Cancer Sentinel Lymph Node Detection","authors":"Daohuai Jiang, Jiaxian Zhao, Yifan Zhang, B. Cong, Yuting Shen, Feng Gao, Yongsheng Wang, Fei Gao","doi":"10.1109/IUS54386.2022.9958597","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958597","url":null,"abstract":"Breast cancer is the most popular cancer for women. The sentinel lymph node (SLN) biopsy is significant for breast cancer treatment. Currently, SLN localization is normally based on visual observation and fluorescence imaging with low resolution due to the strong light scattering. In this study, an integrated Photoacoustic Pen (PAPen) is designed for SLN detection during breast cancer surgery. The PAPen is based on photoacoustic sensing with deeper penetration, which assists the surgeons to detect the SLN fast and accurately. The PAPen combines the ultrasound transducer for photoacoustic (PA) wave detection and the optical fiber for laser illumination. By scanning the detection target with PAPen, the PA signal of the contrast agent in the SLN by lymph drainage can be captured, which implicated the position of SLN for surgeons. The PAPen detects the PA signal update at 10 Hz and the detection depth is up to 50 mm, which can satisfy most breast cancer treatments. Both phantom and in-vivo studies are demonstrated in this work. The PAPen with enhanced flexibility and sensitivity will have great potential for SLN detection during breast cancer surgery.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"31 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":"130940919","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}