Real-Time Reverberation Suppression in Ultrasound Channel Signals Using a Permuted 2D Convolutional Neural Network [0.03%]
基于置换二维卷积神经网络的超声回波信号实时抑制方法研究
Leandra L Brickson,Dongwoon Hyun,Hoda S Hashemi et al.
Leandra L Brickson et al.
Diffuse reverberation noise in ultrasound imaging arises from multiple reflections or secondary scattering of an echo, such as when a strong echo reflects multiple times between a fascial layer and the transducer. Unlike coherent reverberat...
LKCAU-Net: A Large Kernel Coordinated Attention U-Net for Breast Tumors Segmentation in Ultrasound Images [0.03%]
一种大核协同注意力U-网用于乳腺肿瘤超声图像分割
Lai Jiang,YuXin Zheng,Aibin Huang
Lai Jiang
Breast cancer remains a significant health concern for women worldwide. Ultrasound imaging is widely adopted for screening due to its non-invasive and radiation-free nature. However, challenges such as low image contrast, blurred tumor boun...
A Multi-Task Segmentation and Classification Network Based on Ultrasound Images for Predicting the Grading of Ascites in the Abdominal Cavity [0.03%]
基于超声图像的腹腔积液分级预测的多任务分割和分类网络
Feng Xie,Le Tao,Hejing Huang et al.
Feng Xie et al.
Abdominal trauma with bleeding is a leading cause of post-traumatic death, and detecting free fluid in the abdomen or hemoperitoneum can provide critical guidance for clinical management. Rapid and accurate diagnosis of abdominal bleeding u...
Hybrid Physics-Driven Deep Learning for Enhanced Ultrasound Image Quality and Speckle Noise Suppression [0.03%]
基于物理的深度学习方法提高超声图像质量和抑制 speckle噪声
Taher Slimi,Nahla Majdoub Bhiri,Hajer Chtioui et al.
Taher Slimi et al.
Ultrasound imaging is widely used in clinical practice due to its non-invasive, real-time, and cost-effective nature. However, speckle noise often degrades image quality, obscuring fine anatomical structures and reducing diagnostic confiden...
Application of Super-Resolution Ultrasound Contrast Imaging in Differentiating Benign From Malignant Breast Tumors [0.03%]
超声造影超高频弹性成像鉴别乳腺良恶性肿瘤的价值研究
Tong Zhao,Zhan Wang,Ye Yao et al.
Tong Zhao et al.
This study evaluated the utility of super-resolution ultrasound contrast imaging for differentiating benign from malignant breast tumors. In this retrospective study, 60 patients underwent contrast-enhanced ultrasound acquisition before bio...
A Novel Preprocessing Method for Common Carotid Artery Ultrasound Images Based on Phase Asymmetry Metric and Non-subsampled Shearlet Transform [0.03%]
基于相位不对称度量和非下采样Shearlet变换的颈总动脉超声图像新预处理方法
Kun Wang,Wenlu Lou,Keyan Wu et al.
Kun Wang et al.
The intima media thickness (IMT) of the common carotid artery (CCA) is helpful for the diagnosis of atherosclerosis. The CCA ultrasound image segmentation methods can be used for the IMT measurements. However, the speckle noise and the blur...
Generalized Null Subtraction Factor: A Post-Filtering Framework for Contrast Enhancement in Ultrafast Ultrasound Imaging [0.03%]
广义空信号相减因子：超快 ultrasound 成像对比度增强的后滤波框架
Xiaodong Yang,Xin Yan,Lingling Jing et al.
Xiaodong Yang et al.
Poor spatial resolution and contrast remain major challenges in ultrafast ultrasound imaging. Null subtraction imaging (NSI) improves lateral resolution but often degrades speckle quality and contrast. Its extension, dynamic DC-biased NSI (...
Fourier Beamforming of Ultrasound Signals From Chirp Transmits Using the Chirp Scaling Algorithm [0.03%]
基于线性调频信号的chirp scaling算法傅立叶波束形成方法研究
Louise Zhuang,Scott Schoen Jr,Jeremy Dahl et al.
Louise Zhuang et al.
Synthetic aperture transmit sequences can be used in medical ultrasound to increase image resolution without sacrificing frame rate. However, beamforming the large amount of collected data from the sequence is computationally costly for tra...
Seonho Kim,Chunsu Park,Yubin Cho et al.
Seonho Kim et al.
Ultrafast Doppler imaging provides critical insights into tissue perfusion but traditionally requires long acquisitions and computationally expensive filtering, such as singular value decomposition (SVD). In this work, we propose SONIC, a r...
Optimizing Diagnosis of Non-Microcalcified BI-RADS 4 Breast Lesions Using Multimodal Ultrasound Logistic Regression [0.03%]
基于多模态超声逻辑回归的BI-RADS 4类非微钙化乳腺病变优化诊断方法
Yuqing He,Shuai Guo,Zizheng Wu et al.
Yuqing He et al.
To develop a logistic prediction model based on multimodal ultrasound to enhance the diagnostic performance for non-microcalcified BI-RADS 4 breast lesions. We retrospectively analyzed ultrasound data from 334 patients with BI-RADS 4 breast...