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Proceedings Paper

Functional pitch of a liver: fatty liver disease diagnosis with photoacoustic spectrum analysis
Author(s): Guan Xu; Zhuoxian Meng; Jiandie Lin; Paul Carson; Xueding Wang
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Paper Abstract

To provide more information for classification and assessment of biological tissues, photoacoustic spectrum analysis (PASA) moves beyond the quantification of the intensities of the photoacoustic (PA) signals by the use of the frequency-domain power distribution, namely power spectrum, of broadband PA signals. The method of PASA quantifies the linear-fit to the power spectrum of the PA signals from a biological tissue with 3 parameters, including intercept, midband-fit and slope. Intercept and midband-fit reflect the total optical absorption of the tissues whereas slope reflects the heterogeneity of the tissue structure. Taking advantage of the optical absorption contrasts contributed by lipid and blood at 1200 and 532 nm, respectively and the heterogeneous tissue microstructure in fatty liver due to the lipid infiltration, we investigate the capability of PASA in identifying histological changes of fatty livers in mouse model. 6 and 9 pairs of normal and fatty liver tissues from rat models were examined by ex vivo experiment with a conventional rotational PA measurement system. One pair of rat models with normal and fatty livers was examined non-invasively and in situ with our recently developed ultrasound and PA parallel imaging system. The results support our hypotheses that the spectrum analysis of PA signals can provide quantitative measures of the differences between the normal and fatty liver tissues and that part of the PA power spectrum can suffice for characterization of microstructures in biological tissues. Experimental results also indicate that the vibrational absorption peak of lipid at 1200nm could facilitate fatty liver diagnosis.

Paper Details

Date Published: 3 March 2014
PDF: 9 pages
Proc. SPIE 8943, Photons Plus Ultrasound: Imaging and Sensing 2014, 89431G (3 March 2014); doi: 10.1117/12.2037384
Show Author Affiliations
Guan Xu, Univ. of Michigan Medical School (United States)
Zhuoxian Meng, Univ. of Michigan (United States)
Jiandie Lin, Univ. of Michigan (United States)
Paul Carson, Univ. of Michigan Medical School (United States)
Xueding Wang, Univ. of Michigan Medical School (United States)

Published in SPIE Proceedings Vol. 8943:
Photons Plus Ultrasound: Imaging and Sensing 2014
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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