Yang Jiao
Chinese Academy of Sciences
38 Papers
21 Citations
Yang Jiao is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Imaging phantom & Computer science. The author has an hindex of 3, co-authored 27 publications.
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Papers
A United Sign Coherence Factor Beamformer for Coherent Plane-Wave Compounding with Improved Contrast
TL;DR: In this paper, a unified sign coherence factor beamformer (uSCF) was proposed for coherent plane-wave compounding (CPWC), which takes into account the coherence information of the dimensions of each other.
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A triple-frequency transducer for endoscopic imaging: Simulation design and experimental verification
Zhangjian Li,Zhangjian Li,Jie Xu,Xinle Zhu,Xinle Zhu,Zhile Han,Jiabing Lv,Jiabing Lv,Xiaohua Jian,Weiwei Shao,Yang Jiao,Yaoyao Cui +11 more
TL;DR: The ultrasound imaging results of phantom prove that the triple-frequency fusing image is better than single-frequency imaging, and the fused image can maintain the imaging depth and image resolution at the same time.
13
Localization Accuracy of Ultrasound-Actuated Needle with Color Doppler Imaging.
Tingyi Jiang,Xinle Zhu,Yang Jiao,Xinze Li,Zhitian Shen,Zhitian Shen,Yaoyao Cui +6 more
- 28 Nov 2020
TL;DR: The accuracy and agreement of needle tip localization is determined by comparing color Doppler measurements with paired photographic and B-mode ultrasound measurements and the results demonstrate the accuracy of this technique and its potential for application to biopsy and ultrasound guided regional anaesthesia.
10
A high frequency endoscopic ultrasound imaging method combining chirp coded excitation and compressed sensing.
Ninghao Wang,Xinze Li,Jie Xu,Yang Jiao,Xiaohua Jian +4 more
TL;DR: Based on the good autocorrelation properties of chirp signal and the feasibility of using compressed sensing theory to reconstruct high-quality ultrasound images with low sampling requirements, the authors in this article proposed a chircp coded excitation combined with compressed sensing (CCE-CS) technique for high-frequency endoscopic ultrasound (HFEUS) imaging.
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