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

Photoacoustic tomography using a fiber based Fabry-Perot interferometer as an integrating line detector and image reconstruction by model-based time reversal method

Novel Optical Instrumentation for Biomedical Applications III ◽

10.1364/ecbo.2007.6631_6 ◽

2007 ◽

Cited By ~ 1

Author(s):

H. Grün ◽

G. Paltauf ◽

M. Haltmeier ◽

P. Burgholzer

Keyword(s):

Image Reconstruction ◽

Time Reversal ◽

Photoacoustic Tomography ◽

Model Based ◽

Fabry Perot ◽

Line Detector

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

The Journal of the Acoustical Society of America ◽

10.1121/1.2933292 ◽

2008 ◽

Vol 123 (5) ◽

pp. 3184-3184 ◽

Cited By ~ 1

Author(s):

Peter Burgholzer ◽

Hubert Gruen ◽

Robert Nuster ◽

Günther Paltauf ◽

Markus Haltmeier

Keyword(s):

Time Reversal ◽

Heterogeneous Media ◽

Photoacoustic Imaging ◽

Model Based

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Photoacoustic tomography using a fiber based Fabry-Perot interferometer as an integrating line detector and image reconstruction by model-based time reversal method

10.1117/12.729475 ◽

2007 ◽

Cited By ~ 12

Author(s):

H. Grün ◽

G. Paltauf ◽

M. Haltmeier ◽

P. Burgholzer

Keyword(s):

Image Reconstruction ◽

Time Reversal ◽

Photoacoustic Tomography ◽

Model Based ◽

Fabry Perot ◽

Line Detector

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A numerical study of rough interface reverberation suppression, clutter elimination and target resonance excitation in heterogeneous media with single channel iterative time reversal.

The Journal of the Acoustical Society of America ◽

10.1121/1.3248951 ◽

2009 ◽

Vol 126 (4) ◽

pp. 2225

Author(s):

Yingzi Ying ◽

Li Ma ◽

Bingwen Sun

Keyword(s):

Time Reversal ◽

Heterogeneous Media ◽

Single Channel ◽

Numerical Study ◽

Resonance Excitation ◽

Rough Interface

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Quantitative photoacoustic tomography: recovery of optical absorption coefficient maps of heterogeneous media

10.1117/12.697079 ◽

2007 ◽

Cited By ~ 1

Author(s):

Huabei Jiang ◽

Zhen Yuan ◽

Lu Yin ◽

Qiang Wang ◽

Qizhi Zhang

Keyword(s):

Optical Absorption ◽

Absorption Coefficient ◽

Heterogeneous Media ◽

Optical Absorption Coefficient ◽

Photoacoustic Tomography

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Wideband Electromagnetic Time Reversal With Finite Integration Technique: Localization in Heterogeneous Media and Experimental Validation

IEEE Transactions on Magnetics ◽

10.1109/tmag.2013.2283397 ◽

2014 ◽

Vol 50 (2) ◽

pp. 137-140

Author(s):

Mehdi Benhamouche ◽

Laurent Bernard ◽

Mohammed Serhir ◽

Lionel Pichon ◽

Dominique Lesselier

Keyword(s):

Time Reversal ◽

Experimental Validation ◽

Heterogeneous Media ◽

Integration Technique ◽

Finite Integration Technique

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

Journal of Computational Acoustics ◽

10.1142/s0218396x10004140 ◽

2010 ◽

Vol 18 (03) ◽

pp. 227-243 ◽

Cited By ~ 2

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.

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