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Journal of Biomedical Optics

Quantitative photoacoustic imaging: correcting for heterogeneous light fluence distributions using diffuse optical tomography
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Paper Abstract

The specificity of molecular and functional photoacoustic (PA) images depends on the accuracy of the photoacoustic absorption spectroscopy. The PA signal is proportional to the product of the optical absorption coefficient and local light fluence; quantitative PA measurements of the optical absorption coefficient therefore require an accurate estimation of optical fluence. Light-modeling aided by diffuse optical tomography (DOT) can be used to map the required fluence and to reduce errors in traditional PA spectroscopic analysis. As a proof-of-concept, we designed a tissue-mimicking phantom to demonstrate how fluence-related artifacts in PA images can lead to misrepresentations of tissue properties. To correct for these inaccuracies, the internal fluence in the tissue phantom was estimated by using DOT to reconstruct spatial distributions of the absorption and reduced scattering coefficients of multiple targets within the phantom. The derived fluence map, which only consisted of low spatial frequency components, was used to correct PA images of the phantom. Once calibrated to a known absorber, this method reduced errors in estimated absorption coefficients from 33% to 6%. These results experimentally demonstrate that combining DOT with PA imaging can significantly reduce fluence-related errors in PA images, while producing quantitatively accurate, high-resolution images of the optical absorption coefficient.

Paper Details

Date Published: 1 September 2011
PDF: 8 pages
J. Biomed. Opt. 16(9) 096016 doi: 10.1117/1.3626212
Published in: Journal of Biomedical Optics Volume 16, Issue 9
Show Author Affiliations
Adam Q. Bauer, Washington Univ. School of Medicine in St Louis (United States)
Ralph E. Nothdurft, Washington Univ. School of Medicine in St. Louis (United States)
Joseph P. Culver, Washington Univ. School of Medicine in St. Louis (United States)
Todd N. Erpelding, Philips Research North America (United States)
Lihong V. Wang, Washington Univ. in St. Louis (United States)

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