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Element Position Calibration for Matrix Array Transducers with Multiple Disjoint Piezoelectric Panels Ultrason Imaging (IF 2.3) Pub Date : 2024-02-09 Jacob R. McCall, Arthur Chavignon, Olivier Couture, Paul A. Dayton, Gianmarco F. Pinton
Two-dimensional ultrasound transducers enable the acquisition of fully volumetric data that have been demonstrated to provide greater diagnostic information in the clinical setting and are a critical tool for emerging ultrasound methods, such as super-resolution and functional imaging. This technology, however, is not without its limitations. Due to increased fabrication complexity, some matrix probes
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Spectral-based Quantitative Ultrasound Imaging Processing Techniques: Comparisons of RF Versus IQ Approaches Ultrason Imaging (IF 2.3) Pub Date : 2024-02-06 Mingrui Liu, Zhengchang Kou, Yuning Zhao, James W. Wiskin, Gregory J. Czarnota, Michael L. Oelze
Quantitative ultrasound (QUS) is an imaging technique which includes spectral-based parameterization. Typical spectral-based parameters include the backscatter coefficient (BSC) and attenuation coefficient slope (ACS). Traditionally, spectral-based QUS relies on the radio frequency (RF) signal to calculate the spectral-based parameters. Many clinical and research scanners only provide the in-phase
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The Effect of Mixing Iodinated Contrast Media and Ultrasound Contrast Agents on Subharmonic Signals Ultrason Imaging (IF 2.3) Pub Date : 2024-02-06 Cara Esposito, Kenneth Tzan, Priscilla Machado, Flemming Forsberg, Jaydev K. Dave
Subharmonic aided pressure estimation (SHAPE) is a technique that utilizes subharmonic signals from microbubble contrast agents for pressure estimation. Validation of the SHAPE technique relies on synchronous measurements of in vivo pressures using contrast microbubbles and a pressure catheter (reference standard). For the guidance and placement of pressure catheter in vivo, iodinated contrast is used
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A Model Combining Conventional Ultrasound Characteristics, Strain Elastography and Clinicopathological Features to Predict Ki-67 Expression in Small Breast Cancer Ultrason Imaging (IF 2.3) Pub Date : 2024-01-10 Xuesha Xing, Huanhuan Miao, Hong Wang, Jiawei Sun, Chengwei Wu, Yichun Wang, Xianli Zhou, Hongbo Wang
To establish a predictive model incorporating conventional ultrasound, strain elastography and clinicopathological features for Ki-67 expression in small breast cancer (SBC) which defined as maximum diameter less than2 cm. In this retrospective study, 165 SBC patients from our hospital were allocated to a high Ki-67 group ( n = 104) and a low Ki-67 group ( n = 61). Multivariate regression analysis
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High-frequency Quantitative Ultrasound Imaging of Human Rotator Cuff Muscles: Assessment of Repeatability and Reproducibility. Ultrason Imaging (IF 2.3) Pub Date : 2023-11-20 Yuanshan Wu,Victor Barrere,Aria Ashir,Xiaojun Chen,Livia T Silva,Saeed Jerban,Aiguo Han,Michael P Andre,Sameer B Shah,Eric Y Chang
This study evaluated the repeatability and reproducibility of using high-frequency quantitative ultrasound (QUS) measurement of backscatter coefficient (BSC), grayscale analysis, and gray-level co-occurrence matrix (GLCM) textural analysis, to characterize human rotator cuff muscles. The effects of varying scanner settings across two different operators and two US systems were investigated in a healthy
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ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images. Ultrason Imaging (IF 2.3) Pub Date : 2023-11-20 Mohammed Ahmed,Hongbo Du,Alaa AlZoubi
Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters
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Automatic Detection of Thyroid Nodule Characteristics From 2D Ultrasound Images. Ultrason Imaging (IF 2.3) Pub Date : 2023-10-21 Dongxu Han,Nasir Ibrahim,Feng Lu,Yicheng Zhu,Hongbo Du,Alaa AlZoubi
Thyroid cancer is one of the common types of cancer worldwide, and Ultrasound (US) imaging is a modality normally used for thyroid cancer diagnostics. The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TIRADS) has been widely adopted to identify and classify US image characteristics for thyroid nodules. This paper presents novel methods for detecting the characteristic
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Rapid and Efficient Computation of Cell Paths During Ultrasonic Focusing. Ultrason Imaging (IF 2.3) Pub Date : 2023-08-29 Charles F Babbs,Mary V Lang
This biophysical analysis explores the first-principles physics of movement of white blood cell sized particles, suspended in an aqueous fluid and experiencing progressive or standing waves of acoustic pressure. In many current applications the cells are gradually nudged or herded toward the nodes of the standing wave, providing a degree of acoustic focusing and concentration of the cells in layers
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Ultrasonographic Findings and Prognosis of Metastases to the Thyroid Gland. Ultrason Imaging (IF 2.3) Pub Date : 2023-07-05 Wenting Xie,Yaoqin Wang,Zhongshi Du,Yijie Chen,Yu Wu,Dongdong Zhu,Lina Tang
Metastases to the thyroid gland (MTT) are uncommon in clinical practice. The ultrasound (US) features are easily confused with primary thyroid malignancy, Hashimoto's thyroiditis, and other thyroid diseases. Therefore, this study aimed to assess the role of US and analysis of prognosis of MTT. A total of 45 patients with MTT in the database between July 2009 and February 2022 at the Fujian Cancer Hospital
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Regularization-Based 2D Strain Tensor Imaging in Quasi-Static Ultrasound Elastography SAGE Publications. Ultrason Imaging (IF 2.3) Pub Date : 2023-05-25 Anne-Lise Duroy,Valérie Detti,Agnès Coulon,Olivier Basset,Elisabeth Brusseau
Accurately estimating all strain components in quasi-static ultrasound elastography is crucial for the full analysis of biological media. In this study, 2D strain tensor imaging was investigated, focusing on the use of a regularization method to improve strain images. This method enforces the tissue property of (quasi-) incompressibility, while penalizing strong field variations, to smooth the displacement
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Combined ARFI and Shear Wave Imaging of Prostate Cancer: Optimizing Beam Sequences and Parameter Reconstruction Approaches Ultrason Imaging (IF 2.3) Pub Date : 2023-05-02 Derek Y. Chan, Daniel Cody Morris, Thomas J. Polascik, Mark L. Palmeri, Kathryn R. Nightingale
This study demonstrates the implementation of a shear wave reconstruction algorithm that enables concurrent acoustic radiation force impulse (ARFI) imaging and shear wave elasticity imaging (SWEI) ...
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A Multiscale Attentional Unet Model for Automatic Segmentation in Medical Ultrasound Images Ultrason Imaging (IF 2.3) Pub Date : 2023-04-28 Rui Wang, Haoyuan Zhou, Peng Fu, Hui Shen, Yang Bai
Ultrasonography has become an essential part of clinical diagnosis owing to its noninvasive, and real-time nature. To assist diagnosis, automatically segmenting a region of interest (ROI) in ultras...
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A Geometric Model of Ultrasound Backscatter to Describe Microstructural Anisotropy of Tissue Ultrason Imaging (IF 2.3) Pub Date : 2023-04-27 Andrew P. Santoso, Ivan Rosado-Mendez, Quinton W. Guerrero, Timothy J. Hall
Methods to assess ultrasound backscatter anisotropy from clinical array transducers have recently been developed. However, they do not provide information about the anisotropy of microstructural fe...
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Ultrasound Patterns and Disease Progression in Medullary Sponge Kidney in Adults Ultrason Imaging (IF 2.3) Pub Date : 2023-04-14 Mirela Liana Gliga, Cristian Chirila, Paula Maria Chirila
Our paper presents the ultrasound (US) patterns of a rare kidney disease—medullary sponge kidney (MSK)—that have not been described before in comparison with other causes of medullary hyperechogeni...
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Calcification Detection in Intravascular Ultrasound (IVUS) Images Using Transfer Learning Based MultiSVM model Ultrason Imaging (IF 2.3) Pub Date : 2023-04-13 Priyanka Arora, Parminder Singh, Akshay Girdhar, Rajesh Vijayvergiya
Cardiovascular disease serves as the leading cause of death worldwide. Calcification detection is considered an important factor in cardiovascular diseases. Currently, medical practitioners visuall...
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Synthetic Aperture Ultrasound Imaging through Adaptive Integrated Transmitting-Receiving Beamformer Ultrason Imaging (IF 2.3) Pub Date : 2023-04-03 Hasti Rostamikhanghahi, Sayed Mahmoud Sakhaei
Synthetic aperture (SA) technique is very attractive for ultrafast ultrasound imaging, as the entire medium can be insonified by a single emission. It also permits applying the dynamic focusing as ...
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Ultrasound Homodyned-K Contrast-Weighted Summation Parametric Imaging Based on H-scan for Detecting Microwave Ablation Zones Ultrason Imaging (IF 2.3) Pub Date : 2023-03-30 Sinan Li, Zhuhuang Zhou, Shuicai Wu, Weiwei Wu
The homodyned-K (HK) distribution is a generalized model of envelope statistics whose parameters α (the clustering parameter) and k (the coherent-to-diffuse signal ratio) can be used to monitor the...
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Boundary-oriented Network for Automatic Breast Tumor Segmentation in Ultrasound Images Ultrason Imaging (IF 2.3) Pub Date : 2023-03-23 Mengmeng Zhang, Aibin Huang, Debiao Yang, Rui Xu
Breast cancer is considered as the most prevalent cancer. Using ultrasound images is a momentous clinical diagnosis method to locate breast tumors. However, accurate segmentation of breast tumors r...
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Breast Tumor Classification using Short-ResNet with Pixel-based Tumor Probability Map in Ultrasound Images Ultrason Imaging (IF 2.3) Pub Date : 2023-03-23 You-Wei Wang, Tsung-Ter Kuo, Yi-Hong Chou, Yu Su, Shing-Hwa Huang, Chii-Jen Chen
Breast cancer is the most common form of cancer and is still the second leading cause of death for women in the world. Early detection and treatment of breast cancer can reduce mortality rates. Bre...
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Prediction of Renal Function 1 Year After Transplantation Using Machine Learning Methods Based on Ultrasound Radiomics Combined With Clinical and Imaging Features Ultrason Imaging (IF 2.3) Pub Date : 2023-03-18 Lili Zhu, Renjun Huang, Zhiyong Zhou, Qingmin Fan, Junchen Yan, Xiaojing Wan, Xiaojun Zhao, Yao He, Fenglin Dong
Kidney transplantation is the most effective treatment for advanced chronic kidney disease (CKD). If the prognosis of transplantation can be predicted early after transplantation, it might improve ...
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Infrared Thermography, Intratendon Vascular Resistance, and Echotexture in Athletes with Patellar Tendinopathy: A Cross-Sectional Study Ultrason Imaging (IF 2.3) Pub Date : 2023-02-13 Francisco J. Molina-Payá, José Ríos-Díaz, Francisco Carrasco-Martínez, Jacinto J. Martínez-Payá
Ultrasonographic signs of tendinopathies are an increase in thickness, loss of alignment in collagen fibers and the presence of neovascularization. Nevertheless, analysis of intratendinous vascular...
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Nonlinear Harmonic Distortion of Complementary Golay Codes Ultrason Imaging (IF 2.3) Pub Date : 2023-01-12 Fraser Hamilton, Peter Hoskins, George Corner, Zhihong Huang
Recent advances in electronics miniaturization have led to the development of low-power, low-cost, point-of-care ultrasound scanners. Low-cost systems employing simple bi-level pulse generation dev...
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B-line Elastography Measurement of Lung Parenchymal Elasticity Ultrason Imaging (IF 2.3) Pub Date : 2023-01-11 Ren Koda, Hayato Taniguchi, Kei Konno, Yoshiki Yamakoshi
This paper proposes a method to determine the elasticity of the lung parenchyma from the B-line Doppler signal observed using continuous shear wave elastography, which uses a small vibrator placed ...
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Improving Image Quality by Deconvolution Recovery Filter in Ultrasound Imaging Ultrason Imaging (IF 2.3) Pub Date : 2022-12-16 Jingwen Pan, Hu Peng, Zhihui Han, Dan Hu, Yadan Wang, Yuanguo Wang
Due to the advantages of non-radiation and real-time performance, ultrasound imaging is essential in medical imaging. Image quality is affected by the performance of the transducer in an ultrasound...
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The Application of Contrast-Enhanced Ultrasound Galactography in Patients With Pathologic Nipple Discharge Ultrason Imaging (IF 2.3) Pub Date : 2022-12-16 Yongmei Wang, Yongzhu Pu, Mei Yin, Yawen Wang, Song Zhao, Jianli Wang, Rong Ma
Twenty patients with pathologic nipple discharge underwent conventional galactography and contrast-enhanced ultrasound (CEUS) galactography. Images were reviewed for detection of suspicious lesions...
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Liver Fibrosis Assessment Using Radiomics of Ultrasound Homodyned-K imaging Based on the Artificial Neural Network Estimator Ultrason Imaging (IF 2.3) Pub Date : 2022-08-26 Zhuhuang Zhou, Zijing Zhang, Anna Gao, Dar-In Tai, Shuicai Wu, Po-Hsiang Tsui
The homodyned-K distribution is an important ultrasound backscatter envelope statistics model of physical meaning, and the parametric imaging of the model parameters has been explored for quantitat...
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A Review of Quantitative Ultrasound-Based Approaches to Thermometry and Ablation Zone Identification Over the Past Decade Ultrason Imaging (IF 2.3) Pub Date : 2022-08-21 Sinan Li, Zhuhuang Zhou, Shuicai Wu, Weiwei Wu
Percutaneous thermal therapy is an important clinical treatment method for some solid tumors. It is critical to use effective image visualization techniques to monitor the therapy process in real t...
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Optimized Reconstruction Procedure of Photoacoustic Imaging for Reflection Artifacts Reduction Ultrason Imaging (IF 2.3) Pub Date : 2022-08-11 Yuexin Qi, Hui Cao, Guanjun Yin, Beilei Zhang, Jianzhong Guo
Photoacoustic (PA) imaging technology is of some value in medical diagnoses such as breast cancer detection, vasculature imaging, and surgery navigating. While as most imaging objects are bounded, ...
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A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images Ultrason Imaging (IF 2.3) Pub Date : 2022-07-21 Fubao Zhu, Zhengyuan Gao, Chen Zhao, Hanlei Zhu, Jiaofen Nan, Yanhui Tian, Yong Dong, Jingfeng Jiang, Xiaohong Feng, Neng Dai, Weihua Zhou
Intravascular ultrasound (IVUS) imaging allows direct visualization of the coronary vessel wall and is suitable for assessing atherosclerosis and the degree of stenosis. Accurate segmentation and l...
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An Improved Parameter Estimator of the Homodyned K Distribution Based on the Maximum Likelihood Method for Ultrasound Tissue Characterization Ultrason Imaging (IF 2.3) Pub Date : 2022-06-08 Yang Liu, Yufeng Zhang, Bingbing He, Zhiyao Li, Xun Lang, Hong Liang, Jianhua Chen
The homodyned K distribution (HK) can generally describe the ultrasound backscatter envelope statistics distribution with parameters that have specific physical meaning. However, creating robust an...
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Speckle Reduction in Ultrasound Images of the Common Carotid Artery Based on Integer and Fractional-Order Total Variation Ultrason Imaging (IF 2.3) Pub Date : 2022-06-08 Kun Wang, Zhiyao Li, Yufeng Zhang
Designing a technique with higher speckle noise suppressing capability, better edge preserving performance, and lower time complexity is a research objective for the common carotid artery (CCA) ult...
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Cardiac Segmentation Method Based on Domain Knowledge Ultrason Imaging (IF 2.3) Pub Date : 2022-05-14 Yingni Wang, Wenbin Chen, Tianhong Tang, Wenquan Xie, Yong Jiang, Huabin Zhang, Xiaobo Zhou, Kehong Yuan
Echocardiography plays an important role in the clinical diagnosis of cardiovascular diseases. Cardiac function assessment by echocardiography is a crucial process in daily cardiology. However, car...
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In Vivo Label-Free Observation of Tumor-Related Blood Vessels in Small Animals Using a Newly Designed Photoacoustic 3D Imaging System Ultrason Imaging (IF 2.3) Pub Date : 2022-05-13 Yasufumi Asao, Kenichi Nagae, Koichi Miyasaka, Hiroyuki Sekiguchi, Sadakazu Aiso, Shigeaki Watanabe, Marika Sato, Shinae Kizaka-Kondoh, Yukari Nakajima, Kazuo Kishi, Takayuki Yagi
Photoacoustic (PA) technology can be used for non-invasive imaging of blood vessels. In this paper, we report on our prototype PA imaging system with a newly designed ultrasound sensor and its visu...
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Temperature Distribution Reconstruction Method for Acoustic Tomography Based on Compressed Sensing Ultrason Imaging (IF 2.3) Pub Date : 2022-05-07 Hua Yan, Yuankun Wei, Yinggang Zhou, Yifan Wang
Acoustic tomography (AT) is one of a few non-contact measurement techniques that can present information about the temperature distribution. Its successful application greatly depends on the perfor...
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The Spectrum-Beamformer for Conventional B-Mode Ultrasound Imaging System: Principle, Validation, and Robustness Ultrason Imaging (IF 2.3) Pub Date : 2022-04-02 Chen Jiang, Chengcheng Liu, Yiqiang Zhan, Dean Ta
Fast and efficient imaging techniques are important for real-time ultrasound imaging. The delay and sum (DAS) beamformer is the most widely-used strategy in focused ultrasound imaging (FUI) modality. However, calculating the time delays and coherently summing the amplitude response in DAS is computationally expensive and generally require a high-performance processor to realize real-time processing
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A Multi-Task Learning Framework for Automated Segmentation and Classification of Breast Tumors From Ultrasound Images Ultrason Imaging (IF 2.3) Pub Date : 2022-02-07 Jignesh Chowdary, Pratheepan Yogarajah, Priyanka Chaurasia, Velmathi Guruviah
Breast cancer is one of the most fatal diseases leading to the death of several women across the world. But early diagnosis of breast cancer can help to reduce the mortality rate. So an efficient multi-task learning approach is proposed in this work for the automatic segmentation and classification of breast tumors from ultrasound images. The proposed learning approach consists of an encoder, decoder
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Segmentation Enhanced Elastic Image Registration for 2D Speckle Tracking Echocardiography—Performance Study In Silico Ultrason Imaging (IF 2.3) Pub Date : 2022-01-16 Aleksandra Wilczewska, Szymon Cygan, Jakub Żmigrodzki
Although the two dimensional Speckle Tracking Echocardiography has gained a strong position among medical diagnostic techniques in cardiology, it still requires further developments to improve its repeatability and reliability. Few works have attempted to incorporate the left ventricle segmentation results in the process of displacements and strain estimation to improve its performance. We proposed
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Fast and Accurate U-Net Model for Fetal Ultrasound Image Segmentation Ultrason Imaging (IF 2.3) Pub Date : 2022-01-06 Vahid Ashkani Chenarlogh, Mostafa Ghelich Oghli, Ali Shabanzadeh, Nasim Sirjani, Ardavan Akhavan, Isaac Shiri, Hossein Arabi, Morteza Sanei Taheri, Mohammad Kazem Tarzamni
U-Net based algorithms, due to their complex computations, include limitations when they are used in clinical devices. In this paper, we addressed this problem through a novel U-Net based architecture that called fast and accurate U-Net for medical image segmentation task. The proposed fast and accurate U-Net model contains four tuned 2D-convolutional, 2D-transposed convolutional, and batch normalization
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Feasibility of Quantitative Tissue Characterization Using Novel Parameters Extracted From Photoacoustic Power Spectrum Considering Multiple Absorbers Ultrason Imaging (IF 2.3) Pub Date : 2021-10-29 Nikita Rathi, Saugata Sinha, Bhargava Chinni, Vikram Dogra, Navalgund Rao
Frequency domain analysis of radio frequency signal is performed to differentiate between different tissue categories in terms of spectral parameters. However, due to complex relationship between the absorber size and spectral parameters, they cannot be used for quantitative tissue characterization. In an earlier study, we showed that using linear relationship between absorber size and two new spectral
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Cyclic Variation of Spectral Parameters for the Differentiation of Atrial Myocardium Before and Immediately Following Radiofrequency Ablation Ultrason Imaging (IF 2.3) Pub Date : 2021-09-13 Scott Anjewierden, Oussama M. Wazni, D. Geoffrey Vince, Mohamed Kanj, Walid Saliba, Russell J. Fedewa
Radiofrequency ablation (RFA) is a common treatment of atrial fibrillation. However, current treatment is associated with a greater than 20% recurrence rate, in part due to inadequate monitoring of tissue viability during ablation. Spectral parameters, in particular cyclic variation of integrated backscatter (CVIB), have shown promise as early indicators of myocardial recovery from ischemia. Our aim
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Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism Ultrason Imaging (IF 2.3) Pub Date : 2021-09-01 Jianing Xi, Jiangang Chen, Zhao Wang, Dean Ta, Bing Lu, Xuedong Deng, Xuelong Li, Qinghua Huang
Large scale early scanning of fetuses via ultrasound imaging is widely used to alleviate the morbidity or mortality caused by congenital anomalies in fetal hearts and lungs. To reduce the intensive cost during manual recognition of organ regions, many automatic segmentation methods have been proposed. However, the existing methods still encounter multi-scale problem at a larger range of receptive fields
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Is There a Difference Between the Joint Ultrasounds of Healthy Women and Men? A Study With Small, Medium, and Large Joints Ultrason Imaging (IF 2.3) Pub Date : 2021-08-26 Jose Carlos Nunes-Tamashiro, Jamil Natour, Daniele Freitas Pereira, Flavia S. Machado, Rogerio D. Takahashi, Rita Nely Vilar Furtado
To compare joint ultrasound measurements between the sexes in healthy volunteers. A cross-sectional study compared the joint ultrasound measurements between the sexes in healthy volunteers. Quantitative (synovial hypertrophy and perpendicular measurement in the largest synovial recess) and semiquantitative (synovial hypertrophy, power Doppler, and bone erosion; score 0–3) ultrasound measurements were
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Assessment of Axillary Lymph Nodes for Metastasis on Ultrasound Using Artificial Intelligence Ultrason Imaging (IF 2.3) Pub Date : 2021-08-20 Aylin Tahmasebi, Enze Qu, Alexander Sevrukov, Ji-Bin Liu, Shuo Wang, Andrej Lyshchik, Joshua Yu, John R. Eisenbrey
The purpose of this study was to evaluate an artificial intelligence (AI) system for the classification of axillary lymph nodes on ultrasound compared to radiologists. Ultrasound images of 317 axillary lymph nodes from patients referred for ultrasound guided fine needle aspiration or core needle biopsy and corresponding pathology findings were collected. Lymph nodes were classified into benign and
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Fourier-based Synthetic-aperture Imaging for Arbitrary Transmissions by Cross-correlation of Transmitted and Received Wave-fields Ultrason Imaging (IF 2.3) Pub Date : 2021-07-08 Rehman Ali
Investigations into Fourier beamforming for medical ultrasound imaging have largely been limited to plane-wave and single-element transmissions. The main aim of this work is to generalize Fourier beamforming to enable synthetic aperture imaging with arbitrary transmit sequences. When applied to focused transmit beams, the proposed approach yields a full-waveform-based alternative to virtual-source
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Diagnostic Performance of Muscle Echo Intensity and Fractal Dimension for the Detection of Frailty Phenotype Ultrason Imaging (IF 2.3) Pub Date : 2021-07-08 Rebeca Mirón Mombiela, Jelena Vucetic, Paloma Monllor, Jenny S. Cárdenas-Herrán, Paloma Taltavull de La Paz, Consuelo Borrás
To determine the relationship between muscle echo intensity (EI) and fractal dimension (FD), and the diagnostic performance of both ultrasound parameters for the identification of frailty phenotype. A retrospective interpretation of ultrasound scans from a previous cohort (November 2014–February 2015) was performed. The sample included healthy participants <60 years old, and participants ≥60 divided
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Ultrasonographic Detection of Vascularity of Focal Breast Lesions: Microvascular Imaging Versus Conventional Color and Power Doppler Imaging Ultrason Imaging (IF 2.3) Pub Date : 2021-07-08 Tommaso Vincenzo Bartolotta, Alessia Angela Maria Orlando, Maria Ilenia Schillaci, Luigi Spatafora, Mariangela Di Marco, Domenica Matranga, Alberto Firenze, Alessandra Cirino, Raffaele Ienzi
To compare microvascular flow imaging (MVFI) to conventional Color-Doppler (CDI) and Power-Doppler (PDI) imaging in the detection of vascularity of Focal Breast Lesions (FBLs). A total of 180 solid FBLs (size: 3.5–45.2 mm) detected in 180 women (age: 21–87 years) were evaluated by means of CDI, PDI, and MVFI. Two blinded reviewers categorized lesion vascularity in absent or present, and vascularity
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An Automatic Biopsy Needle Detection and Segmentation on Ultrasound Images Using a Convolutional Neural Network Ultrason Imaging (IF 2.3) Pub Date : 2021-06-28 Agata Wijata, Jacek Andrzejewski, Bartłomiej Pyciński
Needle visualization in the ultrasound image is essential to successfully perform the ultrasound-guided core needle biopsy. Automatic needle detection can significantly reduce the procedure time, false-negative rate, and highly improve the diagnosis. In this paper, we present a CNN-based, fully automatic method for detection of core needle in 2D ultrasound images. Adaptive moment estimation optimizer
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Contrast-Enhanced Ultrasound Imaging of Uterine Disorders: A Systematic Review Ultrason Imaging (IF 2.3) Pub Date : 2021-05-26 Barbara Stoelinga, Lynda Juffermans, Anniek Dooper, Marleen de Lange, Wouter Hehenkamp, Thierry Van den Bosch, Judith Huirne
Uterine disorders are often presented with overlapping symptoms. The microvasculature holds specific information important for diagnosing uterine disorders. Conventional sonography is an established diagnostic technique in gynecology, but is limited by its inability to image the microvasculature. Contrast-enhanced ultrasound (CEUS), is capable of imaging the microvasculature by means of intravascular
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Sodium Alginate Ultrasound Phantom for Medical Education Ultrason Imaging (IF 2.3) Pub Date : 2021-05-26 Minoru Aoyagi
The ultrasound phantoms used to educate medical students should not only closely mimic the ultrasound characteristics of human soft tissues but also be inexpensive and easy to manufacture. I have been studying handmade ultrasound phantoms and proposed an ultrasound phantom comprising calcium alginate hydrogel that met these requirements but caused a speckle pattern similar to that observed in ultrasound
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Semi-automated weak annotation for deep neural network skin thickness measurement Ultrason Imaging (IF 2.3) Pub Date : 2021-05-11 Felix Q. Jin, Anna E. Knight, Adela R. Cardones, Kathryn R. Nightingale, Mark L. Palmeri
Correctly calculating skin stiffness with ultrasound shear wave elastography techniques requires an accurate measurement of skin thickness. We developed and compared two algorithms, a thresholding method and a deep learning method, to measure skin thickness on ultrasound images. Here, we also present a framework for weakly annotating an unlabeled dataset in a time-effective manner to train the deep
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Efficacy of High Temporal Frequency Photoacoustic Guidance of Laser Ablation Procedures Ultrason Imaging (IF 2.3) Pub Date : 2021-05-09 Yan Yan, Samuel John, Jurgita Meiliute, Loay Kabbani, Mohammad Mehrmohammadi
Inaccurate placement of the ablation catheter and the inability to monitor the real-time temperature within the tissue of interest such as veins curbs the treatment efficacy of laser ablation procedures during thermal therapies. Our previous studies have validated the efficacy of photoacoustic (PA) imaging during endovenous laser ablation (EVLA) procedures. However, the PA-guided therapies suffer from
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Acoustic-Field Beamforming for Low-Power Portable Ultrasound Ultrason Imaging (IF 2.3) Pub Date : 2021-05-06 Chang-Lin Hu, Guo-Zua Wu, Chih-Chi Chang, Meng-Lin Li
Portable ultrasound has been extensively used for diagnostic applications in health monitoring, emergency rooms, and ambulances. However, these handheld ultrasound systems may suffer from heat and battery issues attributed to the large power consumption of the transmitter. Additionally, the largest portion of the direct current (DC) power consumption can be attributed to the amplifier in the digital-to-analog
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Acoustic-Field Beamforming for Low-Power Portable Ultrasound. Ultrason Imaging (IF 2.3) Pub Date : 2021-05-06 Chang-Lin Hu,Guo-Zua Wu,Chih-Chi Chang,Meng-Lin Li
Portable ultrasound has been extensively used for diagnostic applications in health monitoring, emergency rooms, and ambulances. However, these handheld ultrasound systems may suffer from heat and battery issues attributed to the large power consumption of the transmitter. Additionally, the largest portion of the direct current (DC) power consumption can be attributed to the amplifier in the digital-to-analog
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Quantitative Muscle Ultrasonography Using 2D Textural Analysis: A Novel Approach to Assess Skeletal Muscle Structure and Quality in Chronic Kidney Disease Ultrason Imaging (IF 2.3) Pub Date : 2021-04-15 Thomas J. Wilkinson, Jed Ashman, Luke A. Baker, Emma L. Watson, Alice C. Smith
Chronic kidney disease (CKD) is characterized by progressive reductions in skeletal muscle function and size. The concept of muscle quality is increasingly being used to assess muscle health, although the best means of assessment remains unidentified. The use of muscle echogenicity is limited by an inability to be compared across devices. Gray level of co-occurrence matrix (GLCM), a form of image texture
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Single Versus Multi-channel Dispersion Analysis of Ultrasonic Guided Waves Propagating in Long Bones Ultrason Imaging (IF 2.3) Pub Date : 2021-04-12 Tho N. H. T. Tran, Feng He, Zhenggang Zhang, Mauricio D. Sacchi, Dean Ta, Lawrence H. Le
Ultrasonic guided wave techniques have been applied to characterize cortical bone for osteoporosis assessment. Compared with the current gold-standard X-ray-based diagnostic methods, ultrasound-based techniques pose some advantages such as compactness, low cost, lack of ionizing radiation, and their ability to detect the mechanical properties of the cortex. Axial transmission technique with a source-receiver
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An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses Ultrason Imaging (IF 2.3) Pub Date : 2021-02-25 Dhurgham Al-karawi, Hisham Al-Assam, Hongbo Du, Ahmad Sayasneh, Chiara Landolfo, Dirk Timmerman, Tom Bourne, Sabah Jassim
Significant successes in machine learning approaches to image analysis for various applications have energized strong interest in automated diagnostic support systems for medical images. The evolving in-depth understanding of the way carcinogenesis changes the texture of cellular networks of a mass/tumor has been informing such diagnostics systems with use of more suitable image texture features and
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Image Analysis for Ultrasound Quality Assurance Ultrason Imaging (IF 2.3) Pub Date : 2021-02-15 Majed H. Aljahdali, Alexander Woodman, Lamiaa Al-Jamea, Saeed M. Albatati, Chris Williams
The quality assurance (QA) of ultrasound transducers is often identified as an area requiring continuous development in terms of the tools available to users. Periodic evaluation of the transducers as part of the QA protocol is important, since the quality of the diagnostics. Some of the key criteria determining the process of developing a QA protocol include the complexity of setup, the time required
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Automatic Measurement of Pennation Angle from Ultrasound Images using Resnets Ultrason Imaging (IF 2.3) Pub Date : 2021-02-09 Weimin Zheng, Shangkun Liu, Qing-Wei Chai, Jeng-Shyang Pan, Shu-Chuan Chu
In this study, an automatic pennation angle measuring approach based on deep learning is proposed. Firstly, the Local Radon Transform (LRT) is used to detect the superficial and deep aponeuroses on the ultrasound image. Secondly, a reference line are introduced between the deep and superficial aponeuroses to assist the detection of the orientation of muscle fibers. The Deep Residual Networks (Resnets)
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Ultrasonic Imaging of High-contrasted Objects Based on Full-waveform Inversion: Limits under Fluid Modeling Ultrason Imaging (IF 2.3) Pub Date : 2021-02-09 Luis Espinosa, Elise Doveri, Simon Bernard, Vadim Monteiller, Régine Guillermin, Philippe Lasaygues
Quantitative ultrasound techniques have been previously used to evaluate biological hard tissues, characterized by a large acoustic impedance contrast. Here, we are interested in the imaging of experimental data from different test-targets with high acoustic impedance contrast, using the Full Waveform Inversion (FWI) method to solve the inverse problem. This method is based on high-resolution numerical
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Spatial-frequency Analysis of the Anatomical Differences in Hamstring Muscles Ultrason Imaging (IF 2.3) Pub Date : 2021-02-09 Scott K. Crawford, Kenneth S. Lee, Greg R. Bashford, Bryan C. Heiderscheit
Spatial frequency analysis (SFA) is a quantitative ultrasound method that characterizes tissue organization. SFA has been used for research involving tendon injury, but may prove useful in similar research involving skeletal muscle. As a first step, we investigated if SFA could detect known architectural differences within hamstring muscles. Ultrasound B-mode images were collected bilaterally at locations