2022 IEEE International Ultrasonics Symposium (IUS)最新文献_第3页

Scaling-up the Ultrasound-Enhanced Electrospinning Device 超声增强静电纺丝装置的放大

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9958928

Henri Österberg, J. Mäkinen, Johannes Schavikin, Fabio Valoppit, Dmitry Nikolaev, Ivo Laidmäe, J. Heinamaki, A. Salmi, Edward Hægström

引用次数: 0

Numerical spatial impulse response evaluations of lossy media 有损介质的数值空间脉冲响应评价

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9957448

Drew A. Murray, R. McGough

引用次数: 0

A Feasibility Study of Low-frequency Ultrasound Tomography for Human Thorax 胸腔低频超声成像的可行性研究

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9957971

T. Zhang, Haolin Zhang, Yeyu Cao, Rui Guo, Hongyu Zhou, Maokun Li, Fan Yang, Shenheng Xu

引用次数: 1

A High-Performance 3D Imaging Technique Using Simultaneous Azimuth and Elevation Compounding 同时使用方位和仰角复合的高性能三维成像技术

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9957541

Nicholas A. Campbell, Nicole MacMullin, Rachel. Kiefl, Eptehal Nashnoush, K. Latham, C. D. Emery, Jeremy A. Brown

{"title":"A High-Performance 3D Imaging Technique Using Simultaneous Azimuth and Elevation Compounding","authors":"Nicholas A. Campbell, Nicole MacMullin, Rachel. Kiefl, Eptehal Nashnoush, K. Latham, C. D. Emery, Jeremy A. Brown","doi":"10.1109/IUS54386.2022.9957541","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957541","url":null,"abstract":"A new technique for 3D imaging with a row-column array configuration has been developed. The technique requires an electrostrictive piezoelectric for the active substrate. While the top set of electrodes are connected to RF transmit and receive channels for conventional diverging wave imaging, the orthogonal bottom set of electrodes are connected to independently controlled variable DC bias channels. By implementing modulated bias patterns compounded across multiple pulses, fine delay control across the bottom elements can be achieved simultaneously to imaging with the top set of electrodes. This resulted in a high-quality 2-way focus in both azimuth and elevation. A 20 MHz electrostrictive composite substrate was fabricated and 64 top by 64 bottom electrodes were patterned and connected to custom beamforming and biasing electronics. The point spread functions were generated in all dimensions and the -6 dB resolution was measured to be 93 µm axially, 272 µm in the azimuth, and 328 µm in the elevation dimension. This was in good agreement with the simulated resolutions of 80 µm, 273 µm, and 280 µm respectively.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"78 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":"128321072","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}

引用次数: 0

3D Shear Wave Absolute Vibro-Elastography System for Targeted Prostate Biopsy: Initial Results 用于前列腺靶向活检的三维剪切波绝对振动弹性成像系统：初步结果

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9958838

Tajwar Abrar Aleef, Qi Zeng, H. Moradi, S. Mohammed, T. Currant, M. Honarvar, R. Rohling, S. S. Mahdavi, S. Salcudean

引用次数: 2

Acoustical and Optical Compensation for Spectral Unmixing of Sulfates using Ultrasound and Photoacoustic Tomography: In Silico and In Vitro Results 超声和光声层析成像对硫酸盐光谱分解的声学和光学补偿:在硅和体外的结果

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9957449

Alexander Pattyn, Karl Kratkiewicz, M. Mehrmohammadi

{"title":"Acoustical and Optical Compensation for Spectral Unmixing of Sulfates using Ultrasound and Photoacoustic Tomography: In Silico and In Vitro Results","authors":"Alexander Pattyn, Karl Kratkiewicz, M. Mehrmohammadi","doi":"10.1109/IUS54386.2022.9957449","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957449","url":null,"abstract":"Photoacoustic tomography (PAT) is a powerful adjunct to ultrasound tomography (UST), as it can provide functional and molecular information in addition to the structural information from UST. This means markers such as hypoxia and angiogenesis can be used in combination with acoustic sound speed (SS) and attenuation to aid in the diagnosis of tumors and other pathologies. However, one area of active research in photoacoustic imaging (PAI) is correcting for heterogeneous acoustic and optical properties. If left uncounted for, errors can be introduced into quantitative measurements such as oxygen saturation rendering them unsuitable for use by physicians. Therefore, a need exists to correct for these heterogeneities and to provide useful quantitative measurements. Here we have extended our previous work on model-based acoustic and optical compensation to improve spectral unmixing, to demonstrate the potential future improvements in in vivo oxygen saturation measurements. In silico and in vitro results were analyzed and showed that raw (uncompensated) PAT images measure the ratio of Cuso4/Total dye concentration with an error of up to 56% compared to the ground truth. Once optical compensation was applied Cuso4/Total Dye concentration was shown to have that the error was significantly reduced to ~4-5%. Marking a large improvement in the accuracy of linear unmixing and holding promise for this approach in improving results for future ex vivo and in vivo studies","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"13 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":"128545693","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}

引用次数: 0

Fabrication of high kt2and k’ 352 Sc0.4A10.6N thin films by RF magnetron sputtering 射频磁控溅射制备高k2和k352 Sc0.4A10.6N薄膜

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9957523

Y. Shimizu, T. Yanagitani

引用次数: 1

Multi-task learning framework for echocardiography segmentation 超声心动图分割的多任务学习框架

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9957223

P. Monkam, Songbai Jin, Wen-kai Lu

{"title":"Multi-task learning framework for echocardiography segmentation","authors":"P. Monkam, Songbai Jin, Wen-kai Lu","doi":"10.1109/IUS54386.2022.9957223","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957223","url":null,"abstract":"Automatic delineation of cardiac structure in echocardiography (echo) is of significant importance in the diagnosis and prognosis of cardiovascular diseases (CVDs). Although numerous convolutional neural network (CNN) models have been developed for this purpose, they mainly focused on multi-structure segmentation or single-structure segmentation. However, there are some cases whereby only a specific structure needs to be analyzed, and training multiple deep learning models to achieve multiple single structure segmentation tasks is time-consuming and involves many complex training steps. In this paper, we investigate the feasibility of training a single CNN to achieve multiple cardiac structure segmentation tasks. Specifically, we propose a multitask learning (MTL) framework to segment left ventricle (LV), LV wall and LV+LV wall, simultaneously. It is worth noting that this is the first attempt to consider the segmentation of LV+LV wall as an auxiliary task to enhance the performance of LV and LV wall segmentation, respectively. Moreover, besides multi-structure segmentation, no study has investigated the individual segmentation of LV and LV wall using a single CNN model. The advantages of our proposed framework are assessed through conducting extensive segmentation experiments with two state-of-the-art segmentation models: UNet and DeeplabV3. The obtained results indicate that better performance can be achieved using a single CNN model to delineate multiple cardiac structures simultaneously.","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":"128996835","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}

引用次数: 0

Dual-Axis MEMS Micro-Mirror Based On Lithium Niobate Thin-Film 基于铌酸锂薄膜的双轴MEMS微镜

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9958446

Yaoqing Lu, Kangfu Liu, Tao Wu

引用次数: 0

MEMS Microphone Array for Airborne Ultrasonic 3D Tracking 用于机载超声三维跟踪的MEMS麦克风阵列

2022 IEEE International Ultrasonics Symposium (IUS) Pub Date : 2022-10-10 DOI: 10.1109/IUS54386.2022.9958458

A. Fusco, Martin Krueger, Andreas Froemel, Veena George, Christian Bretthauer

引用次数: 2