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Comparative Study
. 2009 Aug 13;367(1900):3043-54.
doi: 10.1098/rsta.2009.0083.

Quantitative photoacoustic tomography

Zhen Yuan  1 , Huabei Jiang
Affiliations
Comparative Study

Quantitative photoacoustic tomography

Zhen Yuan et al. Philos Trans A Math Phys Eng Sci. .

Abstract

In this paper, several algorithms that allow for quantitative photoacoustic reconstruction of tissue optical, acoustic and physiological properties are described in a finite-element method based framework. These quantitative reconstruction algorithms are compared, and the merits and limitations associated with these methods are discussed. In addition, a multispectral approach is presented for concurrent reconstructions of multiple parameters including deoxyhaemoglobin, oxyhaemoglobin and water concentrations as well as acoustic speed. Simulation and in vivo experiments are used to demonstrate the effectiveness of the reconstruction algorithms presented.

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Figures

Figure 1
Figure 1
Reconstructed images using one wavelength measurement. (a,c) The true locations of the targets. The second column shows (b) recovered acoustic velocity (mm s−1) and (d) absorbed energy density (mJ mm−3) images, respectively.
Figure 2
Figure 2
(a) Exact and (b) reconstructed images using six optical wavelengths. The first to the fourth rows show (i) Hb (μM), (ii) HbO2 (μM), (iii) H2O (%) and (iv) acoustic velocity (mm s−1) images, respectively.
Figure 3
Figure 3
Schematic of our PAT system. BS, beam splitter; PC, personal computer.
Figure 4
Figure 4
Photograph showing the imaging region for a mouse with an implanted subcutaneous tumour.
Figure 5
Figure 5
Reconstructed in vivo images of (a) Hb (μM), (b) HbO2 (μM), (c) H2O (%) and (d) acoustic velocity (mm s−1) from a mouse with a subcutaneous tumour.
See this image and copyright information in PMC

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