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IEEE Trans Med Imaging. 2009 Apr;28(4):585-94. doi: 10.1109/TMI.2008.2007825. Epub 2008 Oct 31.

The application of compressed sensing for photo-acoustic tomography.

Author information

1
Département de Génie Electrique and Institut de Génie Biomédical, Ecole Polytechnique de Montréal, Montréal, QC, Canada. jp2643@columbia.edu

Abstract

Photo-acoustic (PA) imaging has been developed for different purposes, but recently, the modality has gained interest with applications to small animal imaging. As a technique it is sensitive to endogenous optical contrast present in tissues and, contrary to diffuse optical imaging, it promises to bring high resolution imaging for in vivo studies at midrange depths (3-10 mm). Because of the limited amount of radiation tissues can be exposed to, existing reconstruction algorithms for circular tomography require a great number of measurements and averaging, implying long acquisition times. Time-resolved PA imaging is therefore possible only at the cost of complex and expensive electronics. This paper suggests a new reconstruction strategy using the compressed sensing formalism which states that a small number of linear projections of a compressible image contain enough information for reconstruction. By directly sampling the image to recover in a sparse representation, it is possible to dramatically reduce the number of measurements needed for a given quality of reconstruction.

PMID:
19272991
DOI:
10.1109/TMI.2008.2007825
[Indexed for MEDLINE]

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