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Rosenthal, A. ; Razansky, D. ; Ntziachristos, V.

Quantitative optoacoustic signal extraction using sparse signal representation.

IEEE Trans. Med. Imaging 28, 1997-2006 (2009)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
We report on a new quantification methodology of optoacoustic tomographic reconstructions under heterogeneous illumination conditions representative of realistic whole-body imaging scenarios. Our method relies on the differences in the spatial characteristics of the absorption coefficient and the optical energy density within the medium. By using sparse-representation based decomposition, we exploit these different characteristics to extract both the absorption coefficient and the photon density within the imaged object from the optoacoustic image. In contrast to previous methods, this algorithm is not based on the solution of theoretical light transport equations and it does not require explicit knowledge of the illumination geometry or the optical properties of the object and other unknown or loosely defined experimental parameters, leading to highly robust performance. The method was successfully examined with numerically and experimentally generated data and was found to be ideally suited for practical implementations in tomographic schemes of varying complexity, including multiprojection illumination systems and multispectral optoacoustic tomography (MSOT) studies of tissue biomarkers.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Imaging; inverse problems; optoacoustics; photoacoustics; sparse representations; tomography; photoacoustic tomography; scattering media; tissue; brian
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Journal IEEE Transactions on Medical Imaging
Quellenangaben Volume: 28, Issue: 12, Pages: 1997-2006 Article Number: , Supplement: ,
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place New York, NY [u.a.]
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)