automatic focusing
Recently Published Documents


TOTAL DOCUMENTS

106
(FIVE YEARS 7)

H-INDEX

11
(FIVE YEARS 0)

Author(s):  
Weiran Pang ◽  
Yongjun Wang ◽  
Lili Guo ◽  
Bo Wang ◽  
Puxiang Lai ◽  
...  

Existing acoustic-resolution photoacoustic/ultrasonic endoscopy (PA/USE) generally employs a point-focused transducer for ultrasound detection, which is only sensitive in its focal region, thus the lateral resolution and sensitivity drop dramatically when the targets move far from its focus. Even if a dynamic focusing algorithm is applied, the sensitivity out of the transducer focus is still much lower than that in the focus in ultrasonic imaging mode. In this work, we propose an acoustic-resolution PA/USE with a line-focused transducer to realize automatic focusing for the first time. In comparison to a point-focused transducer, the line-focused transducer emits a more uniform sound field, causing the original signal intensity and signal-to-noise ratio (SNR) of the front and rear targets to be closer in the radial direction, which is beneficial for improving target signal uniformity in ultrasonic imaging. Simultaneously, we improved the resolution of the defocus area by modifying a prior work of back-projection (BP) reconstruction algorithm typically used in point-focused transducer based PAE and applying it to line-focused PA/USE. This combined approach may significantly enhance the depth of field of ultrasonic imaging and the resolution of the defocus zone in PA/US imaging, compared to the conventional method. Sufficient numerical simulations and phantom experiments were performed to verify this method. The results show that our method can effectively improve the lateral resolution in the image’s defocused region to achieve automatic focusing and perfectly solve the defect of the target signal difference in the far-focus region in ultrasonic imaging, while also enhancing the image SNR and contrast. The proposed method in this paper lays foundations for the realization of photoacoustic/ultrasonic combined endoscopy with enhanced lateral resolution and depth of field, which can potentially benefit a many of biomedical applications.


Author(s):  
Jianqing Huang ◽  
Weiwei Cai ◽  
Ying-chun Wu ◽  
Xuecheng Wu

Abstract In various multiphase flows, the characterization of particle dynamics is of great significance to understand the interaction between particles and the surrounding flows. Digital holography (DH) is a versatile 3D imaging technique, which has shown great advantages in quantitative analysis and non-intrusive diagnosis of various particle fields. This review focuses on the advances and applications of DH in multiphase reactive/non-reactive flows in the last two decades. The basic principles of DH are introduced firstly, including its mathematical background and representative experimental configurations. Then, the image processing algorithms for hologram reconstruction and automatic focusing are summarized, along with the methods for separating overlapping particles and tracking moving particles. As a prevailing and powerful tool, the recent applications of deep learning in processing holographic images is also included in this review. Furthermore, the applications of DH in the characterization of particle dynamics in multiphase reactive/non-reactive flows are surveyed in detail. Lastly, the review concludes with the discussion of the technical limits of DH and provides insights into its promising future research directions.


Author(s):  
Yang Hong ◽  
Chunmei Zeng ◽  
Chengliang Xia ◽  
Zhiqiang Feng ◽  
Suodong Ma

2021 ◽  
Vol 29 (8) ◽  
pp. 1832-1838
Author(s):  
Wen-lu GUAN ◽  
◽  
Feng-fu TAN ◽  
Xu JING ◽  
Zai-hong HOU ◽  
...  

2020 ◽  
Vol 13 (4) ◽  
pp. 760-769
Author(s):  
LUO Qi-jun ◽  
◽  
◽  
GE Bao-zhen ◽  
◽  
...  

2020 ◽  
Vol 41 (1) ◽  
pp. 61-71
Author(s):  
Xizheng Ke ◽  
Pu Zhang
Keyword(s):  

2018 ◽  
Vol 26 (6) ◽  
pp. 1480-1488
Author(s):  
张从鹏 ZHANG Cong-peng ◽  
曹文政 CAO Wen-zheng ◽  
徐明刚 XU Ming-gang ◽  
宋来军 SONG Lai-jun

2018 ◽  
Vol 47 (11) ◽  
pp. 1117001
Author(s):  
任同群 Ren Tongqun ◽  
黄海亭 Huang Haiting ◽  
王晓东 Wang Xiaodong ◽  
刘 钰 Liu Yu

Sign in / Sign up

Export Citation Format

Share Document