Super-resolution ultrasound imaging with Gaussian fitting method and plane wave transmission

2018 ◽  
Author(s):  
Xin Liu ◽  
Yuexia Shu ◽  
Minglei Lv ◽  
Ying Liu ◽  
Zhuangzhi Yan ◽  
...  
Keyword(s):  
Plane Wave ◽  
Ultrasound Imaging ◽  
Super Resolution ◽  
Wave Transmission ◽  
Gaussian Fitting ◽  
Fitting Method

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

2021 ◽  
Vol 12 ◽  
Author(s):  
Li Yan ◽  
Chen Bai ◽  
Yu Zheng ◽  
Xiaodong Zhou ◽  
Mingxi Wan ◽  
...  
Keyword(s):  
Blood Flow ◽  
Plane Wave ◽  
Ultrasound Imaging ◽  
Rhesus Monkeys ◽  
Super Resolution ◽  
Transcranial Ultrasound ◽  
Cerebral Microvessels ◽  
Resolution Imaging ◽  
Large Animals

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.

scholarly journals High-Order Polynomial Fitting Assistance for Fast Double-Peak Finding in Brillouin-Distributed Sensing

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 187
Author(s):  
Marcelo A. Soto ◽  
Alin Jderu ◽  
Dorel Dorobantu ◽  
Marius Enachescu ◽  
Dominik Ziegler
Keyword(s):  
Optical Fibers ◽  
High Order ◽  
Polynomial Fitting ◽  
Gaussian Fitting ◽  
Peak Finding ◽  
Fitting Method ◽  
Fold Reduction ◽  
Order Polynomial ◽  
Fitting In ◽  
Distributed Brillouin Sensor

A high-order polynomial fitting method is proposed to accelerate the computation of double-Gaussian fitting in the retrieval of the Brillouin frequency shifts (BFS) in optical fibers showing two local Brillouin peaks. The method is experimentally validated in a distributed Brillouin sensor under different signal-to noise ratios and realistic spectral scenarios. Results verify that a sixth-order polynomial fitting can provide a reliable initial estimation of the dual local BFS values, which can be subsequently used as initial parameters of a nonlinear double-Gaussian fitting. The method demonstrates a 4.9-fold reduction in the number of iterations required by double-Gaussian fitting and a 3.4-fold improvement in processing time.

scholarly journals Current Development and Applications of Super-Resolution Ultrasound Imaging

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2417
Author(s):  
Qiyang Chen ◽  
Hyeju Song ◽  
Jaesok Yu ◽  
Kang Kim
Keyword(s):  
Kidney Disease ◽  
Ultrasound Imaging ◽  
Atherosclerotic Plaque ◽  
Super Resolution ◽  
Emerging Technology ◽  
Diffraction Limit ◽  
Disease Models ◽  
Current Development ◽  
Future Directions ◽  
Acoustic Diffraction

Abnormal changes of the microvasculature are reported to be key evidence of the development of several critical diseases, including cancer, progressive kidney disease, and atherosclerotic plaque. Super-resolution ultrasound imaging is an emerging technology that can identify the microvasculature noninvasively, with unprecedented spatial resolution beyond the acoustic diffraction limit. Therefore, it is a promising approach for diagnosing and monitoring the development of diseases. In this review, we introduce current super-resolution ultrasound imaging approaches and their preclinical applications on different animals and disease models. Future directions and challenges to overcome for clinical translations are also discussed.

scholarly journals Super-resolution Ultrasound Imaging of the Renal Microvasculature in Rats with Metabolic syndrome

2020 ◽  
Author(s):  
Stinne Byrholdt Sogaard ◽  
Sofie Bech Andersen ◽  
Iman Taghavi ◽  
Carlos Armando Villagomez Hoyos ◽  
Kristoffer Lindskov Hansen ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Ultrasound Imaging ◽  
Super Resolution ◽  
Renal Microvasculature

Deep Learning Based Angular Compounding for Accelerated Plane Wave Ultrasound Imaging

2021 ◽  
Author(s):  
Hannah Strohm ◽  
Sven Rothlubbers ◽  
Jurgen Jenne ◽  
Matthias Gunther
Keyword(s):  
Deep Learning ◽  
Plane Wave ◽  
Ultrasound Imaging
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