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相关论文: Ultrasound Image Enhancement with the Variance of …

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Despite today's prevalence of ultrasound imaging in medicine, ultrasound signal-to-noise ratio is still affected by several sources of noise and artefacts. Moreover, enhancing ultrasound image quality involves balancing concurrent factors…

图像与视频处理 · 电气工程与系统科学 2024-06-18 Yuxin Zhang , Clément Huneau , Jérôme Idier , Diana Mateus

Despite its wide use in medicine, ultrasound imaging faces several challenges related to its poor signal-to-noise ratio and several sources of noise and artefacts. Enhancing ultrasound image quality involves balancing concurrent factors…

计算机视觉与模式识别 · 计算机科学 2024-10-28 Yuxin Zhang , Clément Huneau , Jérôme Idier , Diana Mateus

Ultrasound plane wave imaging is a cutting-edge technique that enables high frame-rate imaging. However, one challenge associated with high frame-rate ultrasound imaging is the high noise associated with them, hindering their wider…

图像与视频处理 · 电气工程与系统科学 2024-08-21 Hojat Asgariandehkordi , Sobhan Goudarzi , Mostafa Sharifzadeh , Adrian Basarab , Hassan Rivaz

Beamforming in ultrasound imaging has significant impact on the quality of the final image, controlling its resolution and contrast. Despite its low spatial resolution and contrast, delay-and-sum is still extensively used nowadays in…

计算机视觉与模式识别 · 计算机科学 2016-05-20 Teodora Szasz , Adrian Basarab , Denis Kouamé

Image denoising is a fundamental problem in computational photography, where achieving high perception with low distortion is highly demanding. Current methods either struggle with perceptual quality or suffer from significant distortion.…

计算机视觉与模式识别 · 计算机科学 2024-11-19 Tong Li , Hansen Feng , Lizhi Wang , Zhiwei Xiong , Hua Huang

Ultrasound images are widespread in medical diagnosis for musculoskeletal, cardiac, and obstetrical imaging due to the efficiency and non-invasiveness of the acquisition methodology. However, the acquired images are degraded by acoustic…

图像与视频处理 · 电气工程与系统科学 2023-06-14 Hojat Asgariandehkordi , Sobhan Goudarzi , Adrian Basarab , Hassan Rivaz

Ultrasound imaging is an incontestable vital tool for diagnosis, it provides in non-invasive manner the internal structure of the body to detect eventually diseases or abnormalities tissues. Unfortunately, the presence of speckle noise in…

计算机视觉与模式识别 · 计算机科学 2013-05-08 Faouzi Benzarti , Hamid Amiri

The interest of compressive sampling in ultrasound imaging has been recently extensively evaluated by several research teams. Following the different application setups, it has been shown that the RF data may be reconstructed from a small…

计算机视觉与模式识别 · 计算机科学 2015-12-07 Zhouye Chen , Adrian Basarab , Denis Kouamé

Patient scans from MRI often suffer from noise, which hampers the diagnostic capability of such images. As a method to mitigate such artifact, denoising is largely studied both within the medical imaging community and beyond the community…

图像与视频处理 · 电气工程与系统科学 2022-03-25 Hyungjin Chung , Eun Sun Lee , Jong Chul Ye

Beamforming is an essential step in the ultrasound image formation pipeline and has recently attracted growing interest. An important goal of beamforming is to increase the image spatial resolution, or in other words to narrow down the…

图像与视频处理 · 电气工程与系统科学 2022-09-01 Sobhan Goudarzi , Adrian Basarab , Hassan Rivaz

Ultrasound imaging is widely used in noninvasive medical diagnostics due to its efficiency, portability, and avoidance of ionizing radiation. However, its utility is limited by the quality of the signal. Signal-dependent speckle noise,…

图像与视频处理 · 电气工程与系统科学 2026-02-10 Soumee Guha , Scott T. Acton

Denoising is of utmost importance for the visualization and processing of images featuring low signal-to-noise ratio. Total variation methods are among the most popular techniques to perform this task improving the signal-to-noise ratio…

信号处理 · 电气工程与系统科学 2022-01-24 Gonzalo D. Maso Talou , Pablo J. Blanco

Complex degradations like noise, blur, and low resolution are typical challenges in real world image fusion tasks, limiting the performance and practicality of existing methods. End to end neural network based approaches are generally…

计算机视觉与模式识别 · 计算机科学 2026-04-13 Yu Shi , Yu Liu , Zhong-Cheng Wu , Juan Cheng , Huafeng Li , Xun Chen

An efficient despeckling method using a quantum-inspired adaptive threshold function is presented for reducing noise of ultrasound images. In the first step, the ultrasound image is decorrelated by an spectrum equalization procedure due to…

计算机视觉与模式识别 · 计算机科学 2018-07-10 Hamid Reza Shahdoosti

Ultrasound imaging is widely used for real-time, noninvasive diagnosis, but speckle and related artifacts reduce image quality and can hinder interpretation. We present a diffusion-based ultrasound despeckling method built on the Image…

计算机视觉与模式识别 · 计算机科学 2026-02-27 Shuoqi Chen , Yujia Wu , Geoffrey P. Luke

Diffusion magnetic resonance imaging datasets suffer from low Signal-to-Noise Ratio, especially at high b-values. Acquiring data at high b-values contains relevant information and is now of great interest for microstructural and…

计算机视觉与模式识别 · 计算机科学 2016-06-27 Samuel St-Jean , Pierrick Coupé , Maxime Descoteaux

Ultrasound image reconstruction can be approximately cast as a linear inverse problem that has traditionally been solved with penalized optimization using the $l_1$ or $l_2$ norm, or wavelet-based terms. However, such regularization…

计算机视觉与模式识别 · 计算机科学 2023-08-01 Yuxin Zhang , Clément Huneau , Jérôme Idier , Diana Mateus

In ultrasound (US) imaging, various types of adaptive beamforming techniques have been investigated to improve the resolution and contrast-to-noise ratio of the delay and sum (DAS) beamformers. Unfortunately, the performance of these…

图像与视频处理 · 电气工程与系统科学 2020-02-25 Shujaat Khan , Jaeyoung Huh , Jong Chul Ye

Advances in microscopy imaging enable researchers to visualize structures at the nanoscale level thereby unraveling intricate details of biological organization. However, challenges such as image noise, photobleaching of fluorophores, and…

图像与视频处理 · 电气工程与系统科学 2024-09-19 Pamela Osuna-Vargas , Maren H. Wehrheim , Lucas Zinz , Johanna Rahm , Ashwin Balakrishnan , Alexandra Kaminer , Mike Heilemann , Matthias Kaschube

Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal across many applications, spanning from magnetic resonance…

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