Yukiko Obara, Shohei Mori, M. Iwai-Takano, M. Arakawa, Susumu Morosawa, Tomohiko Shindo, Hiroaki Yamamoto, Satoshi Yasuda, Hiroaki Shimokawa, H. Kanai
{"title":"Local Measurement of Instantaneous Change in Myocardial Thickness in Swine Heart During Acute Myocardial Ischemia","authors":"Yukiko Obara, Shohei Mori, M. Iwai-Takano, M. Arakawa, Susumu Morosawa, Tomohiko Shindo, Hiroaki Yamamoto, Satoshi Yasuda, Hiroaki Shimokawa, H. Kanai","doi":"10.1109/IUS54386.2022.9958249","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958249","url":null,"abstract":"Ultrasound-based local strain rate (SR) measurement can detect the abnormality of the myocardial contraction owing to ischemia with high sensitivity. In the present paper, the local SR measurement using the velocity estimator based on the multifrequency phase differences was applied to the open-chest heart of swine during acute myocardial ischemia to capture the abnormality of the myocardial contraction. For the normal condition, some myocardial layers became thin during the systole even though the whole thickness of the heart wall increased. Interestingly, for the ischemic condition, the rate of the myocardial layers thinning during the systole decreased. In addition, the magnitude of thickening in the measured local SR distribution during the systole decreased in the ischemic condition. This may be caused by acute myocardial ischemia because the magnitude of thickening corresponds to the contractile force of the myocardium and it decreases in acute myocardial ischemia. The difference between the baseline and the ischemic condition was observed in the measured local SR distribution during the systole, even after only a few seconds from the occlusion of the coronary artery.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"1 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":"129476441","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}
Guilherme S. P. Fernandes, João H. Uliana, L. Bachmann, A. Carneiro, M. Bell, T. Pavan
{"title":"Impact of skin pigmentation on photoacoustic imaging using linear array transducer: a pilot in vivo study","authors":"Guilherme S. P. Fernandes, João H. Uliana, L. Bachmann, A. Carneiro, M. Bell, T. Pavan","doi":"10.1109/IUS54386.2022.9958826","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958826","url":null,"abstract":"Clinical photoacoustic (PA) imaging systems commonly integrate illumination and detection into the same probe. In this case, PA waves originating from light absorption by melanin in the skin propagate into the tissue and are backscattered to the transducer, which introduces acoustic clutter artifacts. In addition, skin absorption also decreases light fluence within the imaging plane. Therefore, it is important to understand how the amount of melanin in the epidermis impacts PA imaging quality. Toward this goal, PA images of 10 volunteers with different skin constitutive pigmentation were acquired with laser wavelengths of 750 nm, 810 nm, and 870 nm. The radial artery was adopted as the reference to calculate signal-to-noise ratios (SNRs) in order to quantify the presence of clutter artifacts in conventional amplitude-based PA images, as well as the capability of reducing clutter by applying short-lag spatial coherence (SLSC) beamforming. With conventional amplitude-based beamforming, the mean SNR across the 10 volunteers decreased from 38.9 dB to 33.7 dB with the decreasing epidermal melanin content. However, the mean SNR improved by 4.2 dB with SLSC PA images compared to conventional PA images. Overall, SLSC beamforming successfully reduced the appearance of clutter artifacts in PA images, resulting in better visualization of the radial artery and improved image quality. These results are promising to implement SLSC to both reduce acoustic clutter and improve target visualization in photoacoustic images acquired with light transmission through darker skin tones.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"1 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":"129700625","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}
Qinwen Xu, Tong Xin, Zhiwei Wen, Yan Liu, Yao Cai, B. Soon, Wenjuan Liu, Chengliang Sun
{"title":"High-Q A0 Mode Plate Wave Resonator on X-cut LiNbO3 Films with Dummy Electrode Arrays","authors":"Qinwen Xu, Tong Xin, Zhiwei Wen, Yan Liu, Yao Cai, B. Soon, Wenjuan Liu, Chengliang Sun","doi":"10.1109/IUS54386.2022.9957311","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957311","url":null,"abstract":"This paper presents a high-Q A0 mode plate wave resonator with dummy electrode arrays on a suspended X-cut LiNbO3 film. The designed resonators are simulated using the Finite Element Method, and the mode shapes of the A0 and transverse modes are analyzed. Compared to conventional resonators, more energy is concentrated in the central region, and lead resistance is reduced using dummy electrode arrays, resulting in a significant increase in the Q factor. The designed resonators are fabricated on a 4-inch X-cut LiNbO3-on-insulator wafer with a 4-mask process flow. The measured Q factor at the series resonant frequency (about 1.2 GHz) increases from 460 of the conventional resonator to 998 using dummy electrode arrays. The proposed structure improves the Q factor without additional process and shows great potential in high-performance Lamb wave resonators and filters.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"1 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":"129739562","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}
Jules Reniaud, M. Evertsson, Roger Andersson, T. Jansson
{"title":"Increased Displacement in Magnetomotive Ultrasound Imaging by Adding a Homogeneous Magnetic Field","authors":"Jules Reniaud, M. Evertsson, Roger Andersson, T. Jansson","doi":"10.1109/IUS54386.2022.9957813","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957813","url":null,"abstract":"Magnetomotive Ultrasound, MMUS, is an imaging modality used to reveal a magnetic contrast agent using an external time-varying inhomogeneous magnetic field. By this, the particles are set in motion, and the motion is detected with ultrasound. The technique has applications in cancer detection but is limited in penetration as the magnetic field decreases rapidly with distance. Instead of increasing the size of the conventionally used magnetic probe which would lead to heating and clinical practicality problems, adding a homogeneous magnetic field has been suggested to increase the force and thereby displacement. Since the magnetic force is proportional to both the magnetic field strength and the field gradient, the second homogeneous field will increase the force. The homogenous magnetic field was generated using a Helmholtz coil (2×150 turns) driven by an AC current (5 Hz, 4 A peak to peak) synchronized in phase with the rotating neodymium magnet generating the inhomogeneous field (also 5 Hz). The fields set in motion magnetic particles embedded in a tissue-mimicking material and the tissue motion was imaged using an ultrasound scanner (Visualsonics F2). The images were processed using a previously published algorithm to measure the axial component of the tissue motion. Adding the coil with a homogeneous field does increase the detected magneto-motion, in accordance with the theoretical model. A 40% increase was measured at a depth of 53mm for an additional 6mT magnetic field. This points to a possible way to increase the sensitivity in MMUS by adding a homogeneous magnetic field.","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":"126893111","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}
C. Caballero, L. Acosta, E. Guerrero, J. Verdú, P. de Paco
{"title":"Non-Standard Functions Enabling Feasible Microwave- Acoustic Ladder Filters","authors":"C. Caballero, L. Acosta, E. Guerrero, J. Verdú, P. de Paco","doi":"10.1109/IUS54386.2022.9958077","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958077","url":null,"abstract":"This paper explores how acoustic wave (AW) ladder filter can trade the location of the reflection zeros (RZs) in exchange for greater flexibility to accommodate technological constraints. The method, that is leveraged in a robust and mathematically exact synthesis methodology, proposes arranging the RZs in the complex plane in such a way the device performs an equiripple shape in the passband but depicting shallow RZs in comparison to the deep RZs of the classical Generalized Chebyshev (GC) response. A synthesis example validates the pro-posal reaching an evenly-distributed electromechanical coupling coefficient among all resonators while depicting an out-of-band (OoB) rejection close to that achievable with an ideal equiripple response but without adding external reactive elements.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"27 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":"126983608","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":"Machine Learning for Liver and Tumor Segmentation in Ultrasound Based on Labeled CT and MRI Images","authors":"Laurent Man, Haoyang Wu, Junzheng Man, Xuegong Shi, Haohao Wang, Q. Liang","doi":"10.1109/IUS54386.2022.9957634","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957634","url":null,"abstract":"Using machine learning methods to segment liver and tumor in ultrasound (US) images has been challenging due to the general lack of quality labeled US training data. This paper applies the multi-modality image fusion labeling (MMIFL) method to transfer liver segmentation labels from Computed Topography (CT) and Magnetic Resonance Imaging (MRI) volume data to the corresponding US image set. The resulting labeled US data is then used to train and test specific machine learning models. The results show that segmenting liver and lesion on the US images based on the transferred labeling from CT/MRI images is feasible. Furthermore, due to the nature of the fusion technique, transfer learning is easily implemented. For baselining, we first reproduce the public available 2D UNet tuned for the CT/MRI segmentation, and further test other model architectures. The best model had an average liver DICE score of 82.09%.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"160 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":"126990548","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":"Binary and Random Inputs to Rapidly Identify Overfitting of Deep Neural Networks Trained to Output Ultrasound Images","authors":"Jiaxin Zhang, Alycen Wiacek, M. Bell","doi":"10.1109/IUS54386.2022.9957314","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957314","url":null,"abstract":"We developed a novel method to detect overfitting of deep neural networks trained to create ultrasound images. This method only requires the network architecture and trained weights, and does not require loss function monitoring during an otherwise time-consuming training process. Specifically, two binary images and an image of Gaussian random noise were used as inputs to three neural networks submitted to the Challenge on Ultrasound Beamforming with Deep Learning (CUBDL). Comparing the network-created images to the ground truth immediately revealed an overfit to the data used to train one of the three networks, indicating the promise of our method to detect overfitting without requiring lengthy network retraining or the collection of additional test data. This approach holds promise for regulatory oversight of DNNs intended to be deployed on patient data.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"87 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":"127016751","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. Allard, Chet Preston, Teodoro Trujillo, Chiao Huang, Nan-kuei Chen, R. Witte
{"title":"MRI Guided Transcranial Acoustoelectric Imaging for Safe and Accurate Electrical Brain Mapping","authors":"M. Allard, Chet Preston, Teodoro Trujillo, Chiao Huang, Nan-kuei Chen, R. Witte","doi":"10.1109/IUS54386.2022.9958749","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958749","url":null,"abstract":"Transcranial acoustoelectric brain imaging (tABI) is a new modality that combines ultrasound (US) delivery through the skull with radiofrequency sensing to produce electrical maps of the brain at high resolution. Whereas noninvasive EEG suffers from poor spatial resolution and inaccuracies for estimating current source densities, tABI takes advantage of an acoustoelectric (AE) interaction signal, which confines the current measurement to the focal region of the US beam on the millimeter scale. To safely and accurately deliver US pulses to the brain and co-register tABI maps with structure, a feedback and guidance system is required. The goal of this study is to demonstrate and determine the accuracy of neuronavigated tABI with real-time feedback for optimally placing the US array and directing the beam to the selected target location in the head. This will facilitate co-registration of the human head model, structural MRI, and tABI current density maps. The integrated system allows for a prediction of the US beam trajectory through the human skull with registration to clinical images for guidance and improving accuracy of real-time tABI. The guided system protocol adds only minutes to the process and results in easy localization of the target in the brain. The guided tABI has a resolution of 3 mm and a targetting accuracy of 5.1 mm.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"73 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":"127017157","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}
David Bustamante, Yan Yan, Maryam Basij, Azin Gelareh, E. Hernandez-Andrade, Seyedmohammad Shams, M. Mehrmohammadi
{"title":"Cervix Ultrasound Texture Analysis to Differentiate Between Term and Preterm Birth Pregnancy: A Machine Learning Approach","authors":"David Bustamante, Yan Yan, Maryam Basij, Azin Gelareh, E. Hernandez-Andrade, Seyedmohammad Shams, M. Mehrmohammadi","doi":"10.1109/IUS54386.2022.9958755","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9958755","url":null,"abstract":"Preterm birth (PTB) is the leading cause of morbidity and mortality in neonates. Currently, the prediction of PTB is based on the identification of a short (less than 25 mm) cervix length (CL) measured by transvaginal ultrasound (TVUS). However, this methodology suffers a low sensitivity (< 50%). Therefore, there is an unmet need for developing better predictors of PTB. Textural analysis of B-mode US images has shown potential in providing quantitative biomarkers for tissue characterization. In this study, we investigated the utility of a texture-based machine-learning method applied to TVUS images to differentiate between term and preterm delivery and identify the potential risk of PTB. Sagittal TVUS images taken at 28 - 32 weeks of gestation were analyzed, and five regions of interest (ROI) were labeled. Morphological transforms (Prewitt, Sobel) and normalization were applied to the images to generate a vast pool of imaging features. To select the best features for building predictive models, Borda ranking was applied. With the selected features, three classifier models were made: logistic regression (LR), random forest (RF), and multilayer perceptron (MLP). At a fixed false positive rate of 10 percent, the MLP model achieved a sensitivity of 67 percent, suggesting that the Borda ranking procedure has a high potential for selecting meaningful features to be used in simple non-linear models, such as the MLP.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"1 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":"129177640","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":"Comparison of Weighted And Traditional Electrode Configurations In S0 Resonators","authors":"Ynshuai Liu, Tao Wu","doi":"10.1109/IUS54386.2022.9957329","DOIUrl":"https://doi.org/10.1109/IUS54386.2022.9957329","url":null,"abstract":"The paper reports on electromechanical coupling (k<inf>t</inf><sup>2</sup>) enhancement technique for LiNbO<inf>3</inf>-based laterally vibrating resonators (LVRs). It demonstrates the design and analysis of symmetric (S0) resonators with the weighted structure of 36Y-cut Lithium Niobate (LiNbO<inf>3</inf>) thin film. This structure can enable the effective exciting of fundamental S0 mode. The resonator orientated 40° to +y in the 36Y-cut plane can achieve high electromechanical coupling coefficient (k<inf>t</inf><sup>2</sup>) of 26.2% in S0 mode. Such a high coupling coefficient enables a large bandwidth of acoustic-based RF filters.","PeriodicalId":272387,"journal":{"name":"2022 IEEE International Ultrasonics Symposium (IUS)","volume":"1 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":"124236807","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}