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Automatic Lumen Border Detection in IVUS Images Using Deep Learning Model and Handcrafted Features Ultrason Imaging (IF 1.571) Pub Date : 2021-01-15 Kai Li; Jijun Tong; Xinjian Zhu; Shudong Xia
In the clinical analysis of Intravascular ultrasound (IVUS) images, the lumen size is an important indicator of coronary atherosclerosis, and is also the premise of coronary artery disease diagnosis and interventional treatment. In this study, a fully automatic method based on deep learning model and handcrafted features is presented for the detection of the lumen borders in IVUS images. First, 193
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A Low-complexity Minimum-variance Beamformer Based on Orthogonal Decomposition of the Compounded Subspace Ultrason Imaging (IF 1.571) Pub Date : 2020-12-23 Yinmeng Wang; Yanxing Qi; Yuanyuan Wang
Minimum-variance (MV) beamforming, as a typical adaptive beamforming method, has been widely studied in medical ultrasound imaging. This method achieves higher spatial resolution than traditional delay-and-sum (DAS) beamforming by minimizing the total output power while maintaining the desired signals. However, it suffers from high computational complexity due to the heavy calculation load when determining
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Nipple Localization in Automated Whole Breast Ultrasound Coronal Scans Using Ensemble Learning Ultrason Imaging (IF 1.571) Pub Date : 2020-12-23 Alex Noel Joseph Raj; Ruban Nersisson; Vijayalakshmi G. V. Mahesh; Zhemin Zhuang
Nipple is a vital landmark in the breast lesion diagnosis. Although there are advanced computer-aided detection (CADe) systems for nipple detection in breast mediolateral oblique (MLO) views of mammogram images, few academic works address the coronal views of breast ultrasound (BUS) images. This paper addresses a novel CADe system to locate the Nipple Shadow Area (NSA) in ultrasound images. Here the
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Automated Pleural Line Detection Based on Radon Transform Using Ultrasound Ultrason Imaging (IF 1.571) Pub Date : 2020-12-23 Jiangang Chen; Jiawei Li; Chao He; Wenfang Li; Qingli Li
It is of vital importance to identify the pleural line when performing lung ultrasound, as the pleural line not only indicates the interface between the chest wall and lung, but offers additional diagnostic information. In the current clinical practice, the pleural line is visually detected and evaluated by clinicians, which requires experiences and skills with challenges for the novice. In this study
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Computation of Photoacoustic Absorber Size from Deconvolved Photoacoustic Signal Using Estimated System Impulse Response Ultrason Imaging (IF 1.571) Pub Date : 2020-12-23 Nikita Rathi; Saugata Sinha; Bhargava Chinni; Vikram Dogra; Navalgund Rao
Photoacoustic signal recorded by photoacoustic imaging system can be modeled as convolution of initial photoacoustic response by the photoacoustic absorber with the system impulse response. Our goal was to compute the size of photoacoustic absorber using the initial photoacoustic response, deconvolved from the recorded photoacoustic data. For deconvolution, we proposed to use the impulse response of
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Application of Contrast-Enhanced Ultrasound in the Differential Diagnosis of Different Molecular Subtypes of Breast Cancer Ultrason Imaging (IF 1.571) Pub Date : 2020-10-05 Xingyu Liang; Ziyao Li; Lei Zhang; Dongmo Wang; Jiawei Tian
To explore the value of contrast-enhanced ultrasound (CEUS) in the differential diagnosis of molecular subtypes of breast cancer. Sixty-two cases of breast cancer were divided into luminal epithelium A or B subtype (luminal A/B), Her-2 over-expression subtype and triple negative subtype (TN). CEUS and routine ultrasonography were performed for all patients before surgery. (1) The luminal epithelium
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An Ultrasound Image Enhancement Method Using Neutrosophic Similarity Score Ultrason Imaging (IF 1.571) Pub Date : 2020-10-05 Puja Bharti; Deepti Mittal
Ultrasound images, having low contrast and noise, adversely impact in the detection of abnormalities. In view of this, an enhancement method is proposed in this work to reduce noise and improve contrast of ultrasound images. The proposed method is based on scaling with neutrosophic similarity score (NSS), where an image is represented in the neutrosophic domain through three membership subsets T, I
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Fully Automatic Measurement of Intima-Media Thickness in Ultrasound Images of the Common Carotid Artery Based on Improved Otsu's Method and Adaptive Wind Driven Optimization. Ultrason Imaging (IF 1.571) Pub Date : 2020-09-18 Kun Wang,Yuanyuan Pu,Yufeng Zhang,Pei Wang
The intima media thickness (IMT) of the common carotid artery (CCA) can be used to predict the risk of atherosclerosis. Many image segmentation techniques have been used for IMT measurement. However, severe noise in the ultrasound image can lead to erroneous segmentation results. To improve the robustness to noise, a fully automatic method, based on an improved Otsu’s method and an adaptive wind-driven
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Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture. Ultrason Imaging (IF 1.571) Pub Date : 2020-09-04 Nirvedh H Meshram,Carol C Mitchell,Stephanie Wilbrand,Robert J Dempsey,Tomy Varghese
Carotid plaque segmentation in ultrasound longitudinal B-mode images using deep learning is presented in this work. We report on 101 severely stenotic carotid plaque patients. A standard U-Net is compared with a dilated U-Net architecture in which the dilated convolution layers were used in the bottleneck. Both a fully automatic and a semi-automatic approach with a bounding box was implemented. The
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Skeletal Muscle Fatigue State Evaluation with Ultrasound Image Entropy. Ultrason Imaging (IF 1.571) Pub Date : 2020-08-28 Pan Li,Xuebing Yang,Guanjun Yin,Jianzhong Guo
Muscle fatigue often occurs over a long period of exercise, and it can increase the risk of muscle injury. Evaluating the state of muscle fatigue can avoid unnecessary overtraining and injury of the muscle. Ultrasound imaging can non-invasively visualize muscle tissue in real-time. Image entropy is commonly used to characterize the texture of an image. In this study, we evaluated changes in the ultrasound
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Artificial Intelligence Medical Ultrasound Equipment: Application of Breast Lesions Detection. Ultrason Imaging (IF 1.571) Pub Date : 2020-06-16 Xuesheng Zhang,Xiaona Lin,Zihao Zhang,Licong Dong,Xinlong Sun,Desheng Sun,Kehong Yuan
Breast cancer ranks first among cancers affecting women’s health. Our work aims to realize the intelligence of the medical ultrasound equipment with limited computational capability, which is used for the assistant detection of breast lesions. We embed the high-computational deep learning algorithm into the medical ultrasound equipment with limited computational capability by two techniques: (1) lightweight
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Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks. Ultrason Imaging (IF 1.571) Pub Date : 2020-06-05 Tomoyuki Fujioka,Leona Katsuta,Kazunori Kubota,Mio Mori,Yuka Kikuchi,Arisa Kato,Goshi Oda,Tsuyoshi Nakagawa,Yoshio Kitazume,Ukihide Tateishi
We aimed to use deep learning with convolutional neural networks (CNNs) to discriminate images of benign and malignant breast masses on ultrasound shear wave elastography (SWE). We retrospectively gathered 158 images of benign masses and 146 images of malignant masses as training data for SWE. A deep learning model was constructed using several CNN architectures (Xception, InceptionV3, InceptionResNetV2
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Burr, Lomax, Pareto, and Logistic Distributions from Ultrasound Speckle. Ultrason Imaging (IF 1.571) Pub Date : 2020-06-02 Kevin J Parker,Sedigheh S Poul
After 100 years of theoretical treatment of speckle patterns from coherent illumination, there remain some open questions about the nature of ultrasound speckle from soft vascularized tissues. A recent hypothesis is that the fractal branching vasculature is responsible for the dominant echo pattern from organs such as the liver. In that case, an analysis of cylindrical scattering structures arranged
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Toward Quantitative and Operator-independent Quasi-static Ultrasound Elastography: An Ex Vivo Feasibility Study. Ultrason Imaging (IF 1.571) Pub Date : 2020-05-25 Sathiyamoorthy Selladurai,Abhilash Verma,Arun K Thittai
It is known that the elasticity of liver reduces progressively in the case of diffuse liver disease. Currently, the diagnosis of diffuse liver disease requires a biopsy, which is an invasive procedure. In this paper, we evaluate and report a noninvasive method that can be used to quantify liver stiffness using quasi-static ultrasound elastography approach. Quasi-static elastography is popular in clinical
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On the Effects of Constitutive Properties and Roughness of a Hard Inclusion in Soft Tissue on B-mode Images. Ultrason Imaging (IF 1.571) Pub Date : 2020-05-03 Pranav M Karve,Ravindra Duddu,Jaime Tierney,Kazuyuki Dei,Ryan Hsi,Brett Byram
We perform finite element modeling of pulse-echo ultrasound of a hard inclusion in a soft tissue to gain a better understanding of B-mode image brightness characteristics. We simulate a pressure wave emitted by an ultrasound transducer through the inclusion-tissue medium by prescribing suitable boundary conditions, and collect the scattered wave response to simulate the behavior of the transducer array
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Automated Ultrasound Measurement of the Inferior Vena Cava: An Animal Study. Ultrason Imaging (IF 1.571) Pub Date : 2020-04-02 Jiangang Chen,Jiawei Li,Xin Ding,Gaofeng Wei,Xiaoting Wang,Qingli Li
Because of continuous movement and variation in diameter of the inferior vena cava (IVC) with respiration, the measurements on IVC are labor-intensive and with considerable inter-operator variations. Some computer-assisted techniques have been developed to track the movement of the IVC semi-automatically. However, existing methods predominantly rely on reference marker selection and require many manual
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Machine Learning Diagnostic Modeling for Classifying Fibromyalgia Using B-mode Ultrasound Images. Ultrason Imaging (IF 1.571) Pub Date : 2020-03-16 Michael Behr,Saba Saiel,Valerie Evans,Dinesh Kumbhare
Fibromyalgia (FM) diagnosis remains a challenge for clinicians due to a lack of objective diagnostic tools. One proposed solution is the use of quantitative ultrasound (US) techniques, such as image texture analysis, which has demonstrated discriminatory capabilities with other chronic pain conditions. From this, we propose the use of image texture variables to construct and compare two machine learning
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Temporal Super-resolution of Ultrasound Imaging Using Matrix Completion. Ultrason Imaging (IF 1.571) Pub Date : 2020-03-05 Mina Hosseinpour,Hamid Behnam,Maryam Shojaeifard
The temporal super-resolution of the dynamic ultrasound imaging, a means to observe rapid heart movements, is considered an important subject in medical diagnosis of cardiac conditions. Here, a new technique based on the acquisition scheme using the matrix completion (MC) theory is offered for the temporal super-resolution of the two-dimensional (2D) and three-dimensional (3D) ultrasound imaging. MC
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Ultrasound Backscatter Envelope Statistics Parametric Imaging for Liver Fibrosis Characterization: A Review. Ultrason Imaging (IF 1.571) Pub Date : 2020-02-26 Zhuhuang Zhou,Anna Gao,Qiyu Zhang,Weiwei Wu,Shuicai Wu,Po-Hsiang Tsui
Early detection and diagnosis of liver fibrosis is of critical importance. Currently the gold standard for diagnosing liver fibrosis is biopsy. However, liver biopsy is invasive and associated with sampling errors and can lead to complications such as bleeding. Therefore, developing noninvasive imaging techniques for assessing liver fibrosis is of clinical value. Ultrasound has become the first-line
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Neural Network-based Motion Tracking for Breast Ultrasound Strain Elastography: An Initial Assessment of Performance and Feasibility. Ultrason Imaging (IF 1.571) Pub Date : 2020-01-30 Bo Peng,Yuhong Xian,Quan Zhang,Jingfeng Jiang
Accurate tracking of tissue motion is critically important for several ultrasound elastography methods. In this study, we investigate the feasibility of using three published convolution neural network (CNN) models built for optical flow (hereafter referred to as CNN-based tracking) by the computer vision community for breast ultrasound strain elastography. Elastographic datasets produced by finite
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Adaptive Ultrasound Tissue Harmonic Imaging Based on an Improved Ensemble Empirical Mode Decomposition Algorithm. Ultrason Imaging (IF 1.571) Pub Date : 2020-01-29 Suya Han,Yufeng Zhang,Keyan Wu,Bingbing He,Kexin Zhang,Hong Liang
Complete and accurate separation of harmonic components from the ultrasonic radio frequency (RF) echo signals is essential to improve the quality of harmonic imaging. There are limitations in the existing two commonly used separation methods, that is, the subjectivity for the high-pass filtering (S_HPF) method and motion artifacts for the pulse inversion (S_PI) method. A novel separation method called
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A Spline Interpolation-based Data Reconstruction Technique for Estimation of Strain Time Constant in Ultrasound Poroelastography. Ultrason Imaging (IF 1.571) Pub Date : 2020-01-15 Md Tauhidul Islam,Raffaella Righetti
Ultrasound poroelastography is a cost-effective and noninvasive imaging technique, which can be used to reconstruct mechanical parameters of tissues such as Young's modulus, Poisson's ratio, interstitial permeability, and vascular permeability. To estimate interstitial permeability and vascular permeability using poroelastography, accurate estimation of the strain time constant (TC) is required. This
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Actuator-assisted Subpitch Translation-capable Transducer for Elastography: Preliminary Performance Assessment. Ultrason Imaging (IF 1.571) Pub Date : 2020-01-15 Sathiyamoorthy Selladurai,Arun K Thittai
In conventional linear array (CLA)-based elastography tissue compression in one direction (e.g., axial) leads to an expansion in all other directions (lateral, elevation). Therefore, the estimation of the lateral displacements and strains may provide additional information on the tissue mechanical properties. However, these are not exploited fully due to the inherent limitation in lateral sampling
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Toward Noninvasive Mapping of Diffuse Scattering in the Presence of Motion. Ultrason Imaging (IF 1.571) Pub Date : 2020-01-15 Brooks D Lindsey,Graham C Collins
Ultrasonic coda wave analysis techniques localize defects in fields such as seismography and nondestructive testing. In medical ultrasound, these techniques might provide novel mapping of tissue properties in diseases characterized by local fibrosis. In this work, we present an approach for localizing variation in scattering properties in the diffuse regime with an array transducer in medical ultrasound
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Converting Coherence to Signal-to-noise Ratio for Enhancement of Adaptive Ultrasound Imaging Ultrason Imaging (IF 1.571) Pub Date : 2019-12-05 Hideyuki Hasegawa; Ryo Nagaoka
High-frame-rate ultrasound is an emerging technique for functional ultrasound imaging. However, the lateral spatial resolution and contrast in high-frame-rate ultrasound with an unfocused transmit beam are inherently lower than those in conventional ultrasonic imaging based on the line-by-line acquisition using a focused ultrasonic beam because of the low directivity of the transmit beam. Coherence-based
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Validation of Echodynamography in Comparison with Particle-image Velocimetry. Ultrason Imaging (IF 1.571) Pub Date : 2019-11-01 Sri Oktamuliani,Naoya Kanno,Moe Maeda,Kaoru Hasegawa,Yoshifumi Saijo
Echodynamography (EDG) is a computational method to estimate and visualize two-dimensional flow velocity vectors by applying dynamic flow theories to color Doppler echocardiography. The EDG method must be validated if applied to human cardiac flow function. However, a few studies of flow estimated have compared by EDG to the flow data were acquired by other methods. In this study, EDG was validated
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Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN. Ultrason Imaging (IF 1.571) Pub Date : 2019-11-01 Zihao Zhang,Xuesheng Zhang,Xiaona Lin,Licong Dong,Sure Zhang,Xueling Zhang,Desheng Sun,Kehong Yuan
Breast cancer has become the biggest threat to female health. Ultrasonic diagnosis of breast cancer based on artificial intelligence is basically a classification of benign and malignant tumors, which does not meet clinical demand. Besides, the current target detection method performs poorly in detecting small lesions, while it is clinically required to detect nodules below 2 mm. The objective of this
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Performance Characteristics of Photoacoustic Imaging Probes with Varying Frequencies and Light-delivery Schemes. Ultrason Imaging (IF 1.571) Pub Date : 2019-09-30 Laurie J Rich,Sarah R Chamberlain,Daniela R Falcone,Robert Bruce,Andrew Heinmiller,Jun Xia,Mukund Seshadri
Photoacoustic imaging (PAI) is an emerging biomedical imaging technique that utilizes a combination of light and ultrasound to detect photoabsorbers embedded within tissues. While the clinical utility of PAI has been widely explored for several applications, limitations in light penetration and detector sensitivity have restricted these studies to mostly superficial sites. Given the importance of PA
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Single-image Bayesian Restoration and Multi-image Super-resolution Restoration for B-mode Ultrasound Using an Accurate System Model Involving Correlated Nature of the Speckle Noise. Ultrason Imaging (IF 1.571) Pub Date : 2019-08-01 Mine Cüneyitoğlu Özkul,Ünal Erkan Mumcuoğlu,İbrahim Tanzer Sancak
B-mode ultrasound is an essential part of radiological examinations due to its low cost, safety, and portability, but has the drawbacks of the speckle noise and output of most systems is two-dimensional (2D) cross sections. Image restoration techniques, using mathematical models for image degradation and noise, can be used to boost resolution (deconvolution) as well as to reduce the speckle. In this
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Assessment of Age-related Oxygenation Changes in Calf Skeletal Muscle by Photoacoustic Imaging: A Potential Tool for Peripheral Arterial Disease. Ultrason Imaging (IF 1.571) Pub Date : 2019-07-19 Brooke M Kirkham,Susan M Schultz,Khalid Ashi,Chandra M Sehgal
Peripheral artery disease is often asymptomatic, and various imaging and nonimaging techniques have been used for assessment and monitoring treatments. This study is designed to demonstrate the ability of photoacoustic imaging to noninvasively determine changes in tissue oxygenation that occur in mice's hind limb skeletal muscle as they age. Mice from two age cohorts were scanned bilaterally with a
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GPU-accelerated Double-stage Delay-multiply-and-sum Algorithm for Fast Photoacoustic Tomography Using LED Excitation and Linear Arrays. Ultrason Imaging (IF 1.571) Pub Date : 2019-07-19 Seyyed Reza Miri Rostami,Moein Mozaffarzadeh,Mohsen Ghaffari-Miab,Ali Hariri,Jesse Jokerst
Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute unified device architecture (CUDA) graphics processing unit (GPU) parallel computation approach to address
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The Ability of Ultrasonic Backscatter Parametric Imaging to Characterize Bovine Trabecular Bone. Ultrason Imaging (IF 1.571) Pub Date : 2019-07-16 Ying Li,Boyi Li,Yifang Li,Chengcheng Liu,Feng Xu,Rong Zhang,Dean Ta,Weiqi Wang
The ultrasonic backscatter technique holds the promise of characterizing bone density and microstructure. This paper conducts ultrasonic backscatter parametric imaging based on measurements of apparent integrated backscatter (AIB), spectral centroid shift (SCS), frequency slope of apparent backscatter (FSAB), and frequency intercept of apparent backscatter (FIAB) for representing trabecular bone mass
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Intraocular Pressure-dependent Corneal Elasticity Measurement Using High-frequency Ultrasound. Ultrason Imaging (IF 1.571) Pub Date : 2019-07-04 Laurentius O Osapoetra,Dan M Watson,Stephen A McAleavey
Measurement of corneal biomechanical properties can aid in predicting corneal responses to diseases and surgeries. For delineation of spatially resolved distribution of corneal elasticity, high-resolution elastography system is required. In this study, we demonstrate a high-resolution elastography system using high-frequency ultrasound for ex-vivo measurement of intraocular pressure (IOP)-dependent
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Deconvolution in Intravascular Ultrasound to Improve Lateral Resolution. Ultrason Imaging (IF 1.571) Pub Date : 2019-04-16 Mingxia Li,Weiwei Shao,Xiaoning Jiang,Zhihua Feng
Intravascular ultrasound (IVUS) is an important diagnostic method for coronary disease. The lateral and axial resolutions of IVUS systems under study are typically ~120 and ~30 µm, respectively. The lateral resolution has a lower quality than the axial one and is restricted by the aperture size of transducers. In addition, this resolution is difficult to further improve physically. However, IVUS is
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A Variance-reduction Approach to Detection of the Thyroid-nodule Boundary on Ultrasound Images. Ultrason Imaging (IF 1.571) Pub Date : 2019-04-16 Ling-Ying Chiu,Argon Chen
To perform computer-aided diagnosis of the thyroid nodules on ultrasound images, the location and boundary of nodules should be clearly defined. However, the identification of thyroid nodule boundary is a difficult issue due to the biological characteristics of the nodules, the physics and quality of ultrasound imaging, and the subjective factors and operating conditions of the operator. In this study
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Automatic ROI Placement in the Upper Trapezius Muscle in B-mode Ultrasound Images. Ultrason Imaging (IF 1.571) Pub Date : 2019-04-16 Michael Behr,Evan McNabb,Michael Noseworthy,Siddhartha Sidkar,Dinesh Kumbhare
Research involving B-mode ultrasound imaging often requires user defined regions of interest (ROIs) for analysis, traditionally drawn/selected by a trained operator. This manual process is incredibly time consuming and subjective. Here, we propose a fast and simple method of detecting the average location of aponeurosis layers in ultrasound images of the upper trapezius to place a rectangular ROI for
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An Optimum Imaging Scheme for IVUS Arrays: Eccentric Cylinder Wave Compounding. Ultrason Imaging (IF 1.571) Pub Date : 2019-03-23 Mingxia Li,Zhihua Feng
With the development of integrated circuit (IC) technologies, complex transmitting and receiving circuits can be integrated into miniature intravascular ultrasound (IVUS) catheters, making it possible to adopt better synthesizing schemes for better imaging. Eccentric cylinder wave compounding should be an optimum synthesizing scheme for the small size cylinder shaped catheter. Eccentric cylinder waves
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Predictive Value of Contrast-enhanced Ultrasound for Early Recurrence of Single Lesion Hepatocellular Carcinoma After Curative Resection. Ultrason Imaging (IF 1.571) Pub Date : 2019-01-01 Qin Xiachuan,Zhou Xiang,Liu Xuebing,Luo Yan
This retrospective study aimed to use preoperative and contrast-enhanced ultrasound (CEUS) factors to assess and reveal risk factors of early recurrence (ER) in patients with hepatocellular carcinoma (HCC). We enrolled 141 patients with primary HCC who had undergone surgical resection. The assessment of the CEUS scan includes (a) the maximum diameter of the lesion, (b) the tumor echogenicity of gray-scale
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Detecting the Media-adventitia Border in Intravascular Ultrasound Images through a Classification-based Approach. Ultrason Imaging (IF 1.571) Pub Date : 2018-12-16 Yuan-Yuan Wang,Chen-Hui Qiu,Jun Jiang,Shun-Ren Xia
The detection of the media-adventitia (MA) border in intravascular ultrasound (IVUS) images is essential for vessel assessment and disease diagnosis. However, it remains a challenging task, considering the existence of plaque, calcification, and various artifacts. In this article, an effective method based on classification is proposed to extract the MA border in IVUS images. First, a novel morphologic
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Ultrasonographic Multimodality Diagnostic Model of Thyroid Nodules. Ultrason Imaging (IF 1.571) Pub Date : 2018-11-26 Rui-Na Zhao,Bo Zhang,Yu-Xin Jiang,Xiao Yang,Xing-Jian Lai,Shen-Ling Zhu,Xiao-Yan Zhang
The aim of this study was to identify independent risk factors for thyroid cancer, establish an ultrasonographic multimodality diagnostic model for thyroid nodules, and explore the diagnostic value of the model. From November 2011 to February 2015, 307 patients with a total of 367 thyroid nodules underwent conventional ultrasound, contrast-enhanced ultrasound (CEUS), and ultrasound elastography examinations
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On Factors Affecting Subharmonic-aided Pressure Estimation (SHAPE). Ultrason Imaging (IF 1.571) Pub Date : 2018-11-12 Ipshita Gupta,John R Eisenbrey,Priscilla Machado,Maria Stanczak,Kirk Wallace,Flemming Forsberg
Subharmonic-aided pressure estimation (SHAPE) estimates hydrostatic pressure using the inverse relationship with subharmonic amplitude variations of ultrasound contrast agents (UCAs). We studied the impact of varying incident acoustic outputs (IAO), UCA concentration, and hematocrit on SHAPE. A Logiq 9 scanner with a 4C curvilinear probe (GE, Milwaukee, Wisconsin) was used with Sonazoid (GE Healthcare
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On the Feasibility of Ultrasound Imaging Enrichment by Medium-Temperature Changes. Ultrason Imaging (IF 1.571) Pub Date : 2018-09-21 C A Teixeira,M Pastrana-Chalco,R J Simões,A Pedrosa,M A von Krüger,A V Alvarenga,A J Fontes-Pereira,W C A Pereira
We describe the concept of a new imaging modality based on the tracking and dynamic modeling of local intensity changes (ICs) observed in conventional ultrasound images collected during a medium-temperature change. We computed the pixel-by-pixel IC from averaged B-mode images that exhibited different behaviors with varying temperature resulting from changes in the speed of sound, which consequently
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A Locally Adaptive Phase Aberration Correction (LAPAC) Method for Synthetic Aperture Sequences. Ultrason Imaging (IF 1.571) Pub Date : 2018-09-15 Gustavo Chau,Marko Jakovljevic,Roberto Lavarello,Jeremy Dahl
Phase aberration is a phenomenon caused by heterogeneity of the speed of sound in tissue, in which the actual speed of sound of the tissue is different than the assumed speed of sound used for beamforming. It reduces the quality and resolution of ultrasonic images and impairs clinical diagnostic capabilities. Although phase aberration correction (PAC) methods can reduce these detrimental effects, most
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Robust Waveform Design of Ultrasound Arrays for Medical Imaging. Ultrason Imaging (IF 1.571) Pub Date : 2018-09-12 Amir Gholampour,Sayed Mahmoud Sakhaei,Seyed Mehdi Hosseini Andargoli
Sound speed is an effective parameter in designing an optimal beamformer. In conventional ultrasound imaging systems, the beamformer is designed assuming a fixed value of speed, whereas the speed in a tissue is not known precisely and also may fluctuate by a great value. The errors in estimating sound speed may lead to a severe degradation in the reconstructed image, as mainlobe width and sidelobe
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Group versus Phase Velocity of Shear Waves in Soft Tissues. Ultrason Imaging (IF 1.571) Pub Date : 2018-09-06 Kevin J Parker,Juvenal Ormachea,Zaegyoo Hah
Across the varieties of waves that have been studied in physics, it is well established that group velocities can be significantly greater than or less than phase velocities measured within comparable frequency bands, depending on the particular mechanisms involved. The distinction between group and phase velocities is important in elastography, because diagnoses are made based on shear wave speed
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Evaluation of the Effect of Tissue Compression on the Results of Shear Wave Elastography Measurements. Ultrason Imaging (IF 1.571) Pub Date : 2018-08-14 Jaromir Vachutka,Zuzana Sedlackova,Tomas Furst,Miroslav Herman,Jan Herman,Richard Salzman,Ladislav Dolezal
Shear wave imaging is considered to be more precise and less operator dependent when compared with strain imaging. It enables quantitative and reproducible data (Young's modulus of the imaged tissue). However, results of shear wave imaging can be affected by a variety of different factors. The aim of this study is to evaluate the effect of the pressure applied by the ultrasound probe during examination
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Preliminary Study of Chronic Liver Classification on Ultrasound Images Using an Ensemble Model. Ultrason Imaging (IF 1.571) Pub Date : 2018-07-18 Puja Bharti,Deepti Mittal,Rupa Ananthasivan
Chronic liver diseases are fifth leading cause of fatality in developing countries. Their early diagnosis is extremely important for timely treatment and salvage life. To examine abnormalities of liver, ultrasound imaging is the most frequently used modality. However, the visual differentiation between chronic liver and cirrhosis, and presence of heptocellular carcinomas (HCC) evolved over cirrhotic
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A Novel Microflow Phantom Dedicated to Ultrasound Microvascular Measurements. Ultrason Imaging (IF 1.571) Pub Date : 2018-06-21 Virginie Grand-Perret,Jean-René Jacquet,Ingrid Leguerney,Baya Benatsou,Jean-Marc Grégoire,Georges Willoquet,Ayache Bouakaz,Nathalie Lassau,Stephanie Pitre-Champagnat
Tumor microvascularization is a biomarker of response to antiangiogenic treatments and is accurately assessed by ultrasound imaging. Imaging modes used to visualize slow flows include Power Doppler imaging, dynamic contrast-enhanced ultrasonography, and more recently, microvascular Doppler. Flow phantoms are used to evaluate the performance of Doppler imaging techniques, but they do not have a steady
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Automated Identification and Localization of the Inferior Vena Cava Using Ultrasound: An Animal Study. Ultrason Imaging (IF 1.571) Pub Date : 2018-06-05 Jiangang Chen,Jiawei Li,Xin Ding,Cai Chang,Xiaoting Wang,Dean Ta
Ultrasound measurement of the inferior vena cava (IVC) is widely implemented in the clinic. However, the process is time consuming and labor intensive, because the IVC diameter is continuously changing with respiration. In addition, artificial errors and intra-operator variations are always considerable, making the measurement inconsistent. Research efforts were recently devoted to developing semiautomated
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Ultrasonic Nakagami Imaging of High-intensity Focused Ultrasound-induced Thermal Lesions in Porcine Livers: Ex Vivo Study. Ultrason Imaging (IF 1.571) Pub Date : 2018-06-03 Sheng-Min Huang,Hao-Li Liu,Dai-Wei Li,Meng-Lin Li
High-intensity focused ultrasound (HIFU) has demonstrated the capacity to be used for local thermal ablation in clinical surgery; however, relying solely on conventional ultrasound B-mode imaging to monitor HIFU thermal ablation and determine ablation levels remains a challenge. Here, we experimentally demonstrate the ability to use Nakagami imaging to monitor HIFU-induced thermal lesions in porcine
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Method for Recovering Lost Ultrasonic Information Using the Echo-intensity Mean. Ultrason Imaging (IF 1.571) Pub Date : 2018-06-01 Sara Bahramian,Craig K Abbey,Michael F Insana
The axial resolution of a B-mode (or intensity) image is limited by the bandwidth of the pulse envelope. In this report, we investigate the source of this limitation by examining the transfer of high-resolution information from the tissue impedance variance throughout the imaging process. For that purpose, we express the mean and variance of the echo-intensity signal as a linear system to track the
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Is Kidney Stiffness Measured Using Elastography Influenced Mainly by Vascular Factors in Patients with Diabetic Kidney Disease? Ultrason Imaging (IF 1.571) Pub Date : 2018-06-01 Flaviu Bob,Iulia Grosu,Ioan Sporea,Romulus Timar,Daniel Lighezan,Alina Popescu,Roxana Sirli,Roxana Buzas,Ligia Petrica,Mircea Munteanu,Adalbert Schiller
Studies published so far using ultrasound-based elastography in the kidneys, lack to prove a clear relationship between kidney shear wave speed (KSWS) and renal disease progression. Taking into account that the kidney is a highly vascularized organ, the present study aims to find a relationship between KSWS and vascular factors (blood pressure [BP], arterial stiffness). Our study included 38 diabetic
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Performance Evaluation of Adaptive Imaging Based on Multiphase Apodization with Cross-correlation: A Pilot Study in Abdominal Ultrasound. Ultrason Imaging (IF 1.571) Pub Date : 2018-05-10 Junseob Shin,Yu Chen,Harshawn Malhi,Frank Chen,Jesse Yen
Degradation of image contrast caused by phase aberration, off-axis clutter, and reverberation clutter remains one of the most important problems in abdominal ultrasound imaging. Multiphase apodization with cross-correlation (MPAX) is a novel beamforming technique that enhances ultrasound image contrast by adaptively suppressing unwanted acoustic clutter. MPAX employs multiple pairs of complementary
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Effect of Transmit Beamforming on Clutter Levels in Transthoracic Echocardiography. Ultrason Imaging (IF 1.571) Pub Date : 2018-04-24 Vaibhav Kakkad,Melissa LeFevre,Kingshuk Roy Choudhury,Joseph Kisslo,Gregg E Trahey
Transmit beamforming has a strong impact on several factors that govern image quality, field-of-view, and frame-rate in ultrasound imaging. For cardiac applications, the visualization of fine structures and the ability to track their motion is equally important. Consequently, beamforming choices for echocardiography aim to optimize these trade-offs. Acoustic clutter can dramatically impact image quality
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Three-dimensional Visualization of Ultrasound Backscatter Statistics by Window-modulated Compounding Nakagami Imaging. Ultrason Imaging (IF 1.571) Pub Date : 2018-03-07 Zhuhuang Zhou,Shuicai Wu,Man-Yen Lin,Jui Fang,Hao-Li Liu,Po-Hsiang Tsui
In this study, the window-modulated compounding (WMC) technique was integrated into three-dimensional (3D) ultrasound Nakagami imaging for improving the spatial visualization of backscatter statistics. A 3D WMC Nakagami image was produced by summing and averaging a number of 3D Nakagami images (number of frames denoted as N) formed using sliding cubes with varying side lengths ranging from 1 to N times
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Ultrasound Shear Wave Elastography of the Normal Prostate: Interobserver Reproducibility and Comparison with Functional Magnetic Resonance Tissue Characteristics. Ultrason Imaging (IF 1.571) Pub Date : 2018-01-23 Hugh Harvey,Veronica Morgan,Jeremie Fromageau,Tuathan O'Shea,Jeffrey Bamber,Nandita M deSouza
The purpose of this study was to establish interobserver reproducibility of Young's modulus (YM) derived from ultrasound shear wave elastography (US-SWE) in the normal prostate and correlate it with multiparametric magnetic resonance imaging (mpMRI) tissue characteristics. Twenty men being screened for prostate cancer underwent same-day US-SWE (10 done by two blinded, newly-trained observers) and mpMRI
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Thermoacoustic Lensing in Ultrasound Imaging of Nonechogenic Tissue During High-intensity Focused Ultrasound Exposure. Ultrason Imaging (IF 1.571) Pub Date : 2018-01-16 Matthew Jahns,Dan MacDougall,Robert B A Adamson
We develop a ray-tracing theory to describe the effects of thermoacoustic lensing during high-intensity focused ultrasound (HIFU) on ultrasound images of reflectors lying distal to the HIFU focal region and discuss the application of thermal lensing effects to dose monitoring in HIFU therapy. By analyzing the effects of thermal and geometric delays of acoustic rays passing through a region of tissue
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Speckle Tracking in Transcranial Ultrasound Allows Noninvasive Analysis of Pulsation Patterns of the Third Ventricle. Ultrason Imaging (IF 1.571) Pub Date : 2017-12-07 Benjamin Würzer,Cristina Laza,Jörn Pons-Kühnemann,Manfred Kaps,Bernd Junge,Florian C Roessler
Cerebrospinal fluid (CSF) flow is sensitive to many cerebral disorders. We aimed to develop a noninvasive bedside method to detect physiological and pathological CSF phenomena by measuring pulsation patterns of the third ventricle. By transcranial B-mode ultrasound, electrocardiography (ECG)-gated video loops of the third ventricle were acquired. "Speckle tracking" software was used to quantify the
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Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis. Ultrason Imaging (IF 1.571) Pub Date : 2017-11-29 Richa Agarwal,Oliver Diaz,Xavier Lladó,Albert Gubern-Mérida,Joan C Vilanova,Robert Martí
Mammography is the gold standard screening technique in breast cancer, but it has some limitations for women with dense breasts. In such cases, sonography is usually recommended as an additional imaging technique. A traditional sonogram produces a two-dimensional (2D) visualization of the breast and is highly operator dependent. Automated breast ultrasound (ABUS) has also been proposed to produce a
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