Ultrasound Transcranial Imaging Based on Fast Coherent-Time-Delay and Correlative Pixel-Based Beamforming

Chen, Bai; Zhang, Xinyu; Qiao, Xiaoyang; Sang, Yuchao; Zhong, Hui; Wan, Mingxi

doi:10.1109/ultsym.2018.8579926

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The ultrasound machine used in the study was a VINNO G50 (VINNO Technology Co., Ltd., China) and a 3M phased array probe was employed for conventional imaging. The super-resolution ultrasound research system was Vantage 256 from Verasonics (Verasonics, Inc. Washington, United States), and a self-developed 128-channel low-frequency linear array probe ( 12 , 13 ) was used for the super-resolution ultrasound imaging.…”

Section: Methodsmentioning

confidence: 99%

Study on the Application of Super-Resolution Ultrasound for Cerebral Vessel Imaging in Rhesus Monkeys

Chen

Zheng

et al. 2021

Front. Neurol.

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Background: Ultrasound is ideal for displaying intracranial great vessels but not intracranial microvessels and terminal vessels. Even with contrast agents, the imaging effect is still unsatisfactory. In recent years, significant theoretical advances have been achieved in super-resolution imaging. The latest commonly used ultrafast plane-wave ultrasound Doppler imaging of the brain and microbubble-based super-resolution ultrasound imaging have been applied to the imaging of cerebral microvessels and blood flow in small animals such as mice but have not been applied to in vivo imaging of the cerebral microvessels in monkeys and larger animals. In China, preliminary research results have been obtained using super-resolution imaging in certain fields but rarely in fundamental and clinical experiments on large animals. In recent years, we have conducted a joint study with the Xi'an Jiaotong University to explore the application and performance of this new technique in the diagnosis of cerebrovascular diseases in large animals.Objective: To explore the characteristics and advantages of microbubble-based super-resolution ultrasound imaging of intracranial vessels in rhesus monkeys compared with conventional transcranial ultrasound.Methods: First, the effectiveness and feasibility of the super-resolution imaging technique were verified by modular simulation experiments. Then, the imaging parameters were adjusted based on in vitro experiments. Finally, two rhesus monkeys were used for in vivo experiments of intracranial microvessel imaging.Results: Compared with conventional plane-wave imaging, super-resolution imaging could measure the inner diameters of cerebral microvessels at a resolution of 1 mm or even 0.7 mm and extract blood flow information. In addition, it has a better signal-to-noise ratio (5.625 dB higher) and higher resolution (~30-fold higher). The results of the experiments with rhesus monkeys showed that microbubble-based super-resolution ultrasound imaging can achieve an optimal resolution at the micron level and an imaging depth >35 mm.Conclusion: Super-resolution imaging can realize the monitoring imaging of high-resolution and fast calculation of microbubbles in the process of tissue damage, providing an important experimental basis for the clinical application of non-invasive transcranial ultrasound.

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Section: Methodsmentioning

confidence: 99%

Study on the Application of Super-Resolution Ultrasound for Cerebral Vessel Imaging in Rhesus Monkeys

Chen

Zheng

et al. 2021

Front. Neurol.

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“…In [37], they designed an open-loop coherent beamforming scheme for MISO communications and analyzed the basic parameters and common parameters encountered in most open-loop coherent distributed array implementations. In [38], this paper proposed two plans of beamforming to improve the contrast-to-noise ratio; they are the fast minimum variance (FMV) and the fast coherent time delay and correlated pixel-based (FCCP) beamforming. In [39], the authors apply the coherent beamforming technique to MISO to achieve a similar range to minimize transmission power.…”

Section: Related Workmentioning

confidence: 99%

Optimize the Communication Cost of 5G Internet of Vehicles through Coherent Beamforming Technology

Shi

et al. 2021

Wireless Communications and Mobile Computing

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Edge computing, which sinks a large number of complex calculations into edge servers, can effectively meet the requirement of low latency and bandwidth efficiency and can be conducive to the development of the Internet of Vehicles (IoV). However, a large number of edge servers mean a big cost, especially for the 5G scenario in IoV, because of the small coverage of 5G base stations. Fortunately, coherent beamforming (CB) technology enables fast and long-distance transmission, which gives us a possibility to reduce the number of 5G base stations without losing the whole network performance. In this paper, we try to adopt the CB technology on the IoV 5G scenario. We suppose we can arrange roadside nodes for helping transferring tasks of vehicles to the base station based on the CB technology. We first give the mathematical model and prove that it is a NP-hard model that cannot be solved directly. Therefore, we design a heuristic algorithm for an Iterative Coherent Beamforming Node Design (ICBND) algorithm to obtain the approximate optimal solution. Simulation results show that this algorithm can greatly reduce the cost of communication network infrastructure.

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Research on 5G Internet of Vehicles Facilities Based on Coherent Beamforming

Shi

et al. 2020

Lecture Notes in Computer Science

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Ultrasound Transcranial Imaging Based on Fast Coherent-Time-Delay and Correlative Pixel-Based Beamforming

Cited by 4 publications

References 8 publications

Study on the Application of Super-Resolution Ultrasound for Cerebral Vessel Imaging in Rhesus Monkeys

Study on the Application of Super-Resolution Ultrasound for Cerebral Vessel Imaging in Rhesus Monkeys

Optimize the Communication Cost of 5G Internet of Vehicles through Coherent Beamforming Technology

Research on 5G Internet of Vehicles Facilities Based on Coherent Beamforming

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