
Proceedings Paper
Bayesian-based weighted optoacoustic tomographic reconstruction in acoustic scattering mediaFormat | Member Price | Non-Member Price |
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Paper Abstract
The high optoacoustic resolution at depths beyond the diffusive limit of light stems from the low scattering of
sound, as compared to photons, within biological tissues. However, some biological samples contain strongly
mismatched tissues such as bones or lungs that generally produce acoustic reflections and scattering, and image
distortion is consequently produced by assuming an acoustically homogeneous medium. We describe herein a
statistical procedure to modify the reconstruction algorithms in order to avoid such distortion. The procedure is
based on weighting the contribution of the collected optoacoustic signals to the reconstruction with the probability
that they are not affected by reflections or scattering. A rough estimation of such probability by considering
an area enclosing the sample allows significantly reducing the artefacts associated to acoustic distortion. Furthermore,
the available structural information of the imaging sample can be incorporated in the estimation of
the distortion probability, in a way that a further improvement in the quality of the reconstructed images is
achieved. The benefit of the reconstruction procedure described herein is showcased by reconstructing tissue
mimicking phantoms containing air-gaps. In all cases, the image artefacts produced when no weighting is done
are significantly reduced.
Paper Details
Date Published: 4 March 2013
PDF: 6 pages
Proc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing 2013, 85811P (4 March 2013); doi: 10.1117/12.2004923
Published in SPIE Proceedings Vol. 8581:
Photons Plus Ultrasound: Imaging and Sensing 2013
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)
PDF: 6 pages
Proc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing 2013, 85811P (4 March 2013); doi: 10.1117/12.2004923
Show Author Affiliations
X. Lúis Deán-Ben, Technical Univ. of Munich and Helmholtz Ctr. Munich (Germany)
Vasilis Ntziachristos, Technical Univ. of Munich and Helmholtz Ctr. Munich (Germany)
Vasilis Ntziachristos, Technical Univ. of Munich and Helmholtz Ctr. Munich (Germany)
Daniel Razansky, Technical Univ. of Munich and Helmholtz Ctr. Munich (Germany)
Published in SPIE Proceedings Vol. 8581:
Photons Plus Ultrasound: Imaging and Sensing 2013
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)
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