Cox Benjamin T, Arridge Simon R, Köstli Kornel P, Beard Paul C
Department of Medical Physics and Bioengineering, University College London, Gower Street, London WC1E 6BT, UK.
Appl Opt. 2006 Mar 10;45(8):1866-75. doi: 10.1364/ao.45.001866.
Photoacoustic imaging is a noninvasive biomedical imaging modality for visualizing the internal structure and function of soft tissues. Conventionally, an image proportional to the absorbed optical energy is reconstructed from measurements of light-induced acoustic emissions. We describe a simple iterative algorithm to recover the distribution of optical absorption coefficients from the image of the absorbed optical energy. The algorithm, which incorporates a diffusion-based finite-element model of light transport, converges quickly onto an accurate estimate of the distribution of absolute absorption coefficients. Two-dimensional examples with physiologically realistic optical properties are shown. The ability to recover optical properties (which directly reflect tissue physiology) could enhance photoacoustic imaging techniques, particularly methods based on spectroscopic analysis of chromophores.
光声成像是一种用于可视化软组织内部结构和功能的非侵入性生物医学成像模态。传统上，与吸收的光能成比例的图像是根据光致声发射的测量结果重建的。我们描述了一种简单的迭代算法，用于从吸收的光能图像中恢复光吸收系数的分布。该算法结合了基于扩散的光传输有限元模型，能快速收敛到绝对吸收系数分布的准确估计值。展示了具有生理现实光学特性的二维示例。恢复光学特性（直接反映组织生理学）的能力可以增强光声成像技术，特别是基于发色团光谱分析的方法。
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