An adaptive spatiotemporal filter for ultrasound localization microscopy based on density canopy clustering [0.03%]
基于密度冠聚类的超声定位显微术自适应时空滤波器
Yu Qiang,Wenyue Huang,Wenjie Liang et al.
Yu Qiang et al.
Singular Value Decomposition (SVD) is currently the most prevalent method for microbubble signal extraction in ULM.
Slow-Flow Ultrasound Localization Microscopy Using Recondensation of Perfluoropentane Nanodroplets [0.03%]
声波定位显微镜检测过氟戊烷纳米滴再凝聚效应的低速声学成像方法研究
Mark T Burgess,Mitra Aliabouzar,Christian Aguilar et al.
Mark T Burgess et al.
In addition, detection of microbubbles in low-flow regions can be difficult because of minimal separation of microbubble signal from tissue.
Very Low Frequency Radial Modulation for Deep Penetration Contrast-Enhanced Ultrasound Imaging [0.03%]
甚低频径向调制深组织对比增强超声成像方法
Bowen Jing,Brooks D Lindsey
Bowen Jing
One hundred-kilohertz modulation resulted in significantly higher microbubble signal magnitude (63-88 dB) at the modulation frequency relative to that without 100-kHz modulation (51-59 dB).
Simon Blais,Jonathan Porée,Gerardo Ramos-Palacios et al.
Simon Blais et al.
This work introduces (1) a novel plane wave sequence whose transmit delays increase linearly with transmit events enabling the sampling of high-frequency cavitation events, and (2) an algorithm allowing the processing of the microbubble signal for pressure field mapping.
Optimization of Mechanical Indices for Clinical Contrast-Enhanced Ultrasound [0.03%]
临床增强型超声造影的机械指数优化研究进展
Maciej Piskunowicz,Anush Sridharan,Laura Poznick et al.
Maciej Piskunowicz et al.
A common solution to improving the microbubble signal is by increasing the volume of the ultrasound contrast agent being administered. An alternative technique to improve the signal from the contrast agent is to adjust the mechanical index (MI).
Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound [0.03%]
深度展开的鲁棒PCA及其在超声杂波抑制中的应用
Oren Solomon,Regev Cohen,Yi Zhang et al.
Oren Solomon et al.
A typical preprocessing step in super-resolution ultrasound is to separate the microbubble signal from the cluttering tissue signal. This step has a crucial impact on the final image quality....We then illustrate that an iterative algorithm based on this model exhibits improved separation of microbubble signal from the tissue signal over commonly practiced methods.
On the Effects of Spatial Sampling Quantization in Super-Resolution Ultrasound Microvessel Imaging [0.03%]
空间抽样量化对超分辨率微泡成像性能的影响研究
Pengfei Song,Armando Manduca,Joshua D Trzasko et al.
Pengfei Song et al.
We found that the Fourier analysis of an oversampled spatial profile of the microbubble signal could provide reliable guidance for selecting beamforming spatial sampling frequency.
Microbubble signal and trial of org in acute stroke treatment (TOAST) classification in ischemic stroke [0.03%]
微气泡信号及其在急性卒中TOAST分型中的应用研究（缺血性卒中）
Chan-Hyuk Lee,Hyun Goo Kang,Ji Sung Lee et al.
Chan-Hyuk Lee et al.
The degree of RLS was divided into 4 grades according to the microbubble signal (MBS) as follows: no MBS, grade 1; MBS < 20, grade 2; MBS > 20, grade 3; curtain sign, grade 4.
Improved Super-Resolution Ultrasound Microvessel Imaging With Spatiotemporal Nonlocal Means Filtering and Bipartite Graph-Based Microbubble Tracking [0.03%]
基于时空非局部均值滤波和双图匹配微泡跟踪的改进型超分辨超声血管成像方法
Pengfei Song,Joshua D Trzasko,Armando Manduca et al.
Pengfei Song et al.
We then implemented a bipartite graph-based pairing method with the use of persistence control to further improve the microbubble signal quality and microbubble tracking fidelity.
The Use of Acoustic Radiation Force Decorrelation-Weighted Pulse Inversion for Enhanced Ultrasound Contrast Imaging [0.03%]
声辐射力去相关加权脉冲反相技术在超声造影中的应用研究
Elizabeth B Herbst,Sunil Unnikrishnan,Shiying Wang et al.
Elizabeth B Herbst et al.
In this study, a novel acoustic radiation force (ARF)-based approach was developed for superior microbubble signal detection....The application of ARF significantly increased microbubble signal decorrelation (n = 9, P < 0.01). Using these decorrelation measurements, ADW-PI imaging demonstrated significantly improved microbubble contrast-to-tissue ratio when compared with corresponding CPS or PI images (n = 9, P < 0.001)....Conclusions: Acoustic radiation force can be used to generate adherent microbubble signal decorrelation without microbubble bursting....When combined with PI, measurements of the resulting microbubble signal decorrelation can be used to reconstruct images that exhibit superior suppression of highly echogenic tissue interfaces when compared with PI or CPS alone.
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