从多波长光声图像估计发色团分布。

Estimating chromophore distributions from multiwavelength photoacoustic images.

作者信息

Cox B T, Arridge S R, Beard P C

机构信息

Department of Medical Physics and Bioengineering, University College London, London WC1E 6BT, UK.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2009 Feb;26(2):443-55. doi: 10.1364/josaa.26.000443.

Abstract

Biomedical photoacoustic tomography (PAT) can provide qualitative images of biomedical soft tissue with high spatial resolution. However, whether it is possible to give accurate quantitative estimates of the spatially varying concentrations of the sources of photoacoustic contrast-endogenous or exogenous chromophores-remains an open question. Even if the chromophores' absorption spectra are known, the problem is nonlinear and ill-posed. We describe a framework for obtaining such quantitative estimates. When the optical scattering distribution is known, adjoint and gradient-based optimization techniques can be used to recover the concentration distributions of the individual chromophores that contribute to the overall tissue absorption. When the scattering distribution is unknown, prior knowledge of the wavelength dependence of the scattering is shown to be sufficient to overcome the absorption-scattering nonuniqueness and allow both distributions of chromophore concentrations and scattering to be recovered from multiwavelength photoacoustic images.

摘要

生物医学光声断层扫描(PAT)能够提供具有高空间分辨率的生物医学软组织定性图像。然而,能否对光声对比源(内源性或外源性发色团)的空间变化浓度进行准确的定量估计仍是一个悬而未决的问题。即使已知发色团的吸收光谱,该问题也是非线性且不适定的。我们描述了一个用于获得此类定量估计的框架。当光学散射分布已知时,可以使用伴随和基于梯度的优化技术来恢复对整体组织吸收有贡献的各个发色团的浓度分布。当散射分布未知时,散射对波长的依赖性的先验知识被证明足以克服吸收 - 散射的非唯一性,并允许从多波长光声图像中恢复发色团浓度分布和散射分布。

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