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Statistical optoacoustic image reconstruction using a-priori knowledge on the location of acoustic distortions.

Appl. Phys. Lett. 98:171110 (2011)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
Strong reflection and scattering effects, arising at the boundaries of acoustically mismatched areas in living organisms, such as bones, lungs, and other air cavities, may introduce severe image artifacts into optoacoustic reconstructions. Yet, in many cases, an a priori knowledge on the location of strongly mismatched areas is available, either based on general anatomical knowledge or using other imaging modalities. In this letter, we suggest a statistical optoacoustic image reconstruction method, which uses a priori knowledge on the location of acoustic distortions in order to improve image quality and quantification. Significant improvements are showcased experimentally on tissue mimicking phantoms of different complexities.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Thermoacoustic Tomography; Heterogeneity; Algorithm
ISSN (print) / ISBN 0003-6951
e-ISSN 1077-3118
Quellenangaben Volume: 98, Issue: 17, Pages: , Article Number: 171110 Supplement: ,
Publisher American Institute of Physics (AIP)
Reviewing status Peer reviewed