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

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

Appl. Phys. Lett. 98:171110 (2011)

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Open Access Green as soon as Postprint is submitted to ZB.

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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

Corresponding Author

Keywords Thermoacoustic Tomography; Heterogeneity; Algorithm

ISSN (print) / ISBN 0003-6951

e-ISSN 1077-3118

Journal Applied Physics Letters

Quellenangaben Volume: 98, Issue: 17, Article Number: 171110

Publisher American Institute of Physics (AIP)

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Biological and Medical Imaging (IBMI)