scholarly journals Photoacoustic imaging in scattering media by combining a correlation matrix filter with a time reversal operator

2017 ◽  
Vol 25 (19) ◽  
pp. 22840 ◽  
Author(s):  
Wei Rui ◽  
Chao Tao ◽  
Xiaojun Liu
2013 ◽  
Vol 21 (22) ◽  
pp. 26671 ◽  
Author(s):  
Antonio M. Caravaca-Aguirre ◽  
Donald B. Conkey ◽  
Jacob D. Dove ◽  
Hengyi Ju ◽  
Todd W. Murray ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Liqi Yu ◽  
Jialin Sun ◽  
Xinjing Lv ◽  
Qi Feng ◽  
Huimei He ◽  
...  

AbstractPhotoacoustic imaging has the advantages of high contrast and deep imaging depth. However, with the increasing of imaging depth, the signal-to-noise ratio (SNR) of the detected signal decreases, due to the light scattering that seriously affects the recovery image quality. In this paper, we experimentally demonstrated that higher contrast photoacoustic imaging was achieved using photoacoustic wavefront shaping technology in the presence of light scattering and low SNR signals. The imaging contrast is improved from 1.51 to 5.30. More importantly, we propose a dynamic time window method for the photoacoustic signal extraction algorithm, named correlation detection of adaptive time window, which further improves the contrast of photoacoustic imaging to 9.57. Our method effectively improves the contrast of photoacoustic imaging through scattering media.


2004 ◽  
Vol 70 (4) ◽  
Author(s):  
Julien de Rosny ◽  
Arnaud Tourin ◽  
Arnaud Derode ◽  
Bart van Tiggelen ◽  
Mathias Fink

2021 ◽  
Author(s):  
Snigdha Dange

This is the algorithm of time reversal reconstruction where a model of numerical of the problem of forward is functioned towards backwards in time of acoustics. There is an inventive imaging technique to image biomedical tissues which is also called photoacoustic imaging. In this paper, for photoacoustics imaging a time reversal reconstruction algorithm is proposed which is based on method of optimized support vector machine (SVM) interpolation, (PSO) particle swarm optimization. The images which are reconstructed from the algorithm are more exact than those of the process of interpolation of cubic convolution, interpolation of nearest neighbor and linear interpolation, whereas the numerical results are shown based on algorithm of time reversal, where it can provide quality with enough huge imaging resolution by usage of precisely less times of scan or measurements.


Ultrasonics ◽  
1998 ◽  
Vol 36 (1-5) ◽  
pp. 443-447 ◽  
Author(s):  
Arnaud Derode ◽  
Arnaud Tourin ◽  
Mathias Fink

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