Coherent Interferometry Algorithms for Photoacoustic Imaging

The aim of this paper is to develop new coherent interferometry (CINT) algorithms to correct the effect of an unknown cluttered sound speed (random fluctuations around a known constant) on photoacoustic images. By back-propagating the correlations between the preprocessed pressure measurements, we s...

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Bibliographic Details
Main Authors: Ammari, Habib (Author), Bretin, Elie (Author), Garner, Josselin (Author), Jugnon, Vincent (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Society for Industrial and Applied Mathematics, 2013-03-15T17:21:18Z.
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Online Access:Get fulltext
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100 1 0 |a Ammari, Habib  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Mathematics  |e contributor 
100 1 0 |a Jugnon, Vincent  |e contributor 
700 1 0 |a Bretin, Elie  |e author 
700 1 0 |a Garner, Josselin  |e author 
700 1 0 |a Jugnon, Vincent  |e author 
245 0 0 |a Coherent Interferometry Algorithms for Photoacoustic Imaging 
260 |b Society for Industrial and Applied Mathematics,   |c 2013-03-15T17:21:18Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/77909 
520 |a The aim of this paper is to develop new coherent interferometry (CINT) algorithms to correct the effect of an unknown cluttered sound speed (random fluctuations around a known constant) on photoacoustic images. By back-propagating the correlations between the preprocessed pressure measurements, we show that we are able to provide statistically stable photoacoustic images. The preprocessing is exactly in the same way as when we use the circular or the line Radon inversion to obtain photoacoustic images. Moreover, we provide a detailed stability and resolution analysis of the new CINT--Radon algorithms. We also present numerical results to illustrate their performance and to compare them with Kirchhoff--Radon migration functions. 
520 |a European Research Council (MULTIMOD-267184) 
546 |a en_US 
655 7 |a Article 
773 |t SIAM Journal on Numerical Analysis