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Super-resolution ultrasound imaging (SRUS) is an active area of research as it brings up to a ten-fold improvement in the resolution of microvascular structures. The limitations to the clinical adoption of SRUS include long acquisition…

图像与视频处理 · 电气工程与系统科学 2024-08-05 Arthur David Redfern , Katherine G. Brown

The purpose of this study is to enable in-vivo three-dimensional (3-D) ultrasound localization microscopy (ULM) of posterior ocular microvasculature using a 256-channel system and a 1024-element matrix array, and to overcome limitations of…

Super-Resolution Ultrasound (SRUS) through localizing spatially isolated microbubbles has been demonstrated to overcome the wave diffraction limit and reveal the microvascular structure and flow information at the microscopic scale.…

信号处理 · 电气工程与系统科学 2022-06-09 B. Wang , K. Riemer , M. Toulemonde , J. Yan , X. Zhou , M. Tang

Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound Localisation Microscopy (ULM), has demonstrated significant potential for reconstructing microvasculature and flows with…

图像与视频处理 · 电气工程与系统科学 2025-03-26 Jipeng Yan , Qingyuan Tan , Shusei Kawara , Jingwen Zhu , Bingxue Wang , Matthieu Toulemonde , Honghai Liu , Ying Tan , Meng-Xing Tang

Generation of super-resolution (SR) ultrasound (US) images, created from the successive local-ization of individual microbubbles in the circulation, has enabled the visualization of microvascular structure and flow at a level of detail that…

图像与视频处理 · 电气工程与系统科学 2024-06-19 Scott Schoen , Zhigen Zhao , Ashley Alva , Chengwu Huang , Shigao Chen , Costas Arvanitis

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

Super-resolution ultrasound (SRUS) visualises microvasculature beyond the ultrasound diffraction limit (wavelength($\lambda$)/2) by localising and tracking spatially isolated microbubble contrast agents. SRUS phantoms typically consist of…

Conventional ultrasound (US) imaging employs the delay and sum (DAS) receive beamforming with dynamic receive focus for image reconstruction due to its simplicity and robustness. However, the DAS beamforming follows a geometrical method of…

图像与视频处理 · 电气工程与系统科学 2023-04-20 M. S. Asif , Gayathri Malamal , A. N. Madhavanunni , Vikram Melapudi , V Rahul , Abhijit Patil , Rajesh Langoju , Mahesh Raveendranatha Panicker

High frame rate 3-D ultrasound imaging technology combined with super-resolution processing method can visualize 3-D microvascular structures by overcoming the diffraction limited resolution in every spatial direction. However, 3-D…

Typically, an ultrasound flow imaging system employs the conventional delay and sum (DAS) beamformer due to its inherent low complexity. But the conventional DAS technique offers poor contrast, low imaging resolution, and limited…

信号处理 · 电气工程与系统科学 2022-06-24 A. N. Madhavanunni , Mahesh Raveendranatha Panicker

Super-resolution ultrasound (SRUS) technology has overcome the resolution limitations of conventional ultrasound, enabling micrometer-scale imaging of microvasculature. However, due to the nature of imaging principles, three-dimensional…

计算机视觉与模式识别 · 计算机科学 2026-04-07 Jincao Yao , Ke Zhang , Yahan Zhou , Jiafei Shen , Jie Liu , Mudassar Ali , Bojian Feng , Jiye Chen , Jinlong Fan , Ping Liang , Dong Xu

Ultrasound (US) is widely used for clinical imaging applications thanks to its real-time and non-invasive nature. However, its lesion detectability is often limited in many applications due to the phase aberration artefact caused by…

图像与视频处理 · 电气工程与系统科学 2022-02-18 Shujaat Khan , Jaeyoung Huh , Jong Chul Ye

The row-column addressed array is an emerging probe for ultrafast 3-D ultrasound imaging. It achieves this with far fewer independent electronic channels and a wider field of view than traditional 2-D matrix arrays, of the same channel…

Recently, super-resolution ultrasound imaging with ultrasound localization microscopy (ULM) has received much attention. However, ULM relies on low concentrations of microbubbles in the blood vessels, ultimately resulting in long…

Super-resolution ultrasound imaging has been so far achieved in 3-D by mechanically scanning a volume with a linear probe, by co-aligning multiple linear probes, by using multiplexed 3-D clinical ultrasound systems, or by using 3-D…

For beamforming ultrasound (US) signals, typically a spatially constant speed-of-sound (SoS) is assumed to calculate delays. As SoS in tissue may vary relatively largely, this approximation may cause wavefront aberrations, thus degrading…

图像与视频处理 · 电气工程与系统科学 2019-12-12 Richard Rau , Dieter Schweizer , Valery Vishnevskiy , Orcun Goksel

Contrast-Enhanced Ultra-Sound (CEUS) has become a viable method for non-invasive, dynamic visualization in medical diagnostics, yet Ultrasound Localization Microscopy (ULM) has enabled a revolutionary breakthrough by offering ten times…

计算机视觉与模式识别 · 计算机科学 2023-07-19 Christopher Hahne , Raphael Sznitman

Ultrasound Localization Microscopy (ULM) enables imaging of vascular structures in the micrometer range by accumulating contrast agent particle locations over time. Precise and efficient target localization accuracy remains an active…

图像与视频处理 · 电气工程与系统科学 2023-11-08 Christopher Hahne , Georges Chabouh , Olivier Couture , Raphael Sznitman

The standard technique used by commercial medical ultrasound systems to form B-mode images is delay and sum (DAS) beamforming. However, DAS often results in limited image resolution and contrast, which are governed by the center frequency…

信息论 · 计算机科学 2018-08-06 Regev Cohen , Yonina C. Eldar

In ultrasound (US) imaging, individual channel RF measurements are back-propagated and accumulated to form an image after applying specific delays. While this time reversal is usually implemented using a hardware- or software-based…

图像与视频处理 · 电气工程与系统科学 2019-07-17 Shujaat Khan , Jaeyoung Huh , Jong Chul Ye
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