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Dean-Ben, X.L. ; Ma, R. ; Razansky, D. ; Ntziachristos, V.

Statistical approach for optoacoustic image reconstruction in the presence of strong acoustic heterogeneities.

IEEE Trans. Med. Imaging 30, 401-408 (2011)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
A method is presented to reduce artefacts produced in optoacoustic tomography images due to internal reflection or scattering of the acoustic waves. It is based on weighting the tomographic contribution of each detector with the probability that a signal affected by acoustic mismatches is measured at that position. The correction method does not require a priori knowledge of the acoustic or optical properties of the imaged sample. Performance tests were made with agar phantoms that included air gaps for mimicking strong acoustic reflections as well as with an acoustically heterogeneous adult Zebrafish. The results obtained with the method proposed show a clear reduction of the artefacts with respect to the original images reconstructed with filtered back-projection algorithm. This performance is directly related to in-vivo small animal imaging applications involving imaging in the presence of bones, lungs, and other highly mismatched organs.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Optoacoustic tomography; back-projection algorithm; Statistical correction; Acousticc mismatch
Language english
Publication Year 2011
Prepublished in Year 2010
HGF-reported in Year 2010
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Journal IEEE Transactions on Medical Imaging
Quellenangaben Volume: 30, Issue: 2, Pages: 401-408 Article Number: , Supplement: ,
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place New York, NY [u.a.]
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505500-001
PubMed ID 20876007
DOI 10.1109/TMI.2010.2081683
Erfassungsdatum 2010-12-31
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