Model‐based time reversal method for photoacoustic imaging of heterogeneous media

2008 ◽  
Vol 123 (5) ◽  
pp. 3184-3184 ◽  
Author(s):  
Peter Burgholzer ◽  
Hubert Gruen ◽  
Robert Nuster ◽  
Günther Paltauf ◽  
Markus Haltmeier
Keyword(s):  
Time Reversal ◽  
Heterogeneous Media ◽  
Photoacoustic Imaging ◽  
Model Based

Photoacoustic tomography of heterogeneous media using a model-based time reversal method

2008 ◽  
Author(s):  
Hubert Grün ◽  
Robert Nuster ◽  
Günther Paltauf ◽  
Markus Haltmeier ◽  
Peter Burgholzer
Keyword(s):  
Time Reversal ◽  
Heterogeneous Media ◽  
Photoacoustic Tomography ◽  
Model Based

Frequency Domain Based Virtual Detector for Heterogeneous Media in Photoacoustic Imaging

2020 ◽  
Vol 6 ◽  
pp. 569-578
Author(s):  
Haoran Jin ◽  
Shuangli Liu ◽  
Ruochong Zhang ◽  
Siyu Liu ◽  
Yuanjin Zheng
Keyword(s):  
Frequency Domain ◽  
Heterogeneous Media ◽  
Photoacoustic Imaging

VOLUME CLUTTER ELIMINATION, ROUGH INTERFACE REVERBERATION SUPPRESSION, AND TARGET RESONANCE CONVERGENCE IN HETEROGENEOUS MEDIA USING AN ITERATIVE TIME REVERSAL MIRROR

2010 ◽  
Vol 18 (03) ◽  
pp. 227-243 ◽  
Author(s):  
YINGZI YING ◽  
LI MA
Keyword(s):  
Time Reversal ◽  
Finite Difference Time Domain ◽  
Small Volume ◽  
Heterogeneous Media ◽  
Resonance Mode ◽  
Rough Interface ◽  
Acoustic Signature ◽  
Time Harmonic ◽  
Time Reversal Mirror ◽  
Difference Time

The presence of the clutter of volume scattering and the echo return from rough interface hinders the detection of target in heterogeneous media. This work investigates the application of an iterative time reversal mirror to mitigate the difficulties. Numerical simulations based on pseudospectral finite-difference time-domain method are performed in one and two layered media. A wideband probe pulse is launched to initiate the process, and the time-reversed echo received at the same position is retransmitted as the renewed input signal for next iteration, and repeat the procedures iteratively. The results illustrate as the number of iteration increases, small volume clutter is eliminated, interface reverberation is suppressed relatively, and the echoes will converge to a time-harmonic waveform that corresponds to an object's dominant resonance mode. The detection of target is achieved by extracting this important acoustic signature.

scholarly journals Time Reversal Reconstruction Algorithm for Photoacoustic Imaging

2021 ◽  
Author(s):  
Snigdha Dange
Keyword(s):  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Time Reversal ◽  
Nearest Neighbor ◽  
Imaging Technique ◽  
Photoacoustic Imaging ◽  
Reconstruction Algorithm ◽  
Linear Interpolation ◽  
Support Vector ◽  
Swarm Optimization

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.

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