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首页> 外文会议>Photons Plus Ultrasound: Imaging and Sensing 2007; Progress in Biomedical Optics and Imaging; vol.8 no.14; Proceedings of SPIE-The International Society for Optical Engineering; vol.6437 >Using Monte Carlo Simulations to Understand the Influence of Photon Propagation on Photoacoustic Spectroscopic Imaging
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Using Monte Carlo Simulations to Understand the Influence of Photon Propagation on Photoacoustic Spectroscopic Imaging

机译：使用蒙特卡罗模拟了解光子传播对光声光谱成像的影响

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Purpose: The purpose of this study is to evaluate the influence of photon propagation on the NIR spectral features associated with photoacoustic imaging. Introduction: Photoacoustic CT spectroscopy (PCT-S) has the potential to identify molecular properties of tumors while overcoming the limited depth resolution associated with optical imaging modalities (e.g., OCT and DOT). Photoacoustics is based on the fact that biological tissue generates high-frequency acoustic signals due to volume of expansion when irradiated by pulsed light. The amplitude of the acoustic signal is proportional to the optical absorption properties of tissue, which varies with wavelength depending on the molecular makeup of the tissue. To obtain quantifiable information necessitate modeling and correcting for photon and acoustic propagation in tumors. Material and Methods: A Monte Carlo (MC) algorithm based on MCML (Monte Carlo for Multi-Layered edia) has been developed to simulate photon propagation within objects comprised of a series of complex 3D surfaces (Mcml3D). This code has been used to simulate and correct for the optical attenuation of photons in blood, and for subcutaneous tumors with homogenous and radially heterogeneous vascular distributions. Results: The NIR spectra for oxygenated and deoxygenated blood as determined from Monte Carlo simulated photoacoustic data matched measured data, and improving oxygen saturation calculations. Subcutaneous tumors with a homogeneous and radially heterogeneous distribution of blood revealed large variations in photon absorption as a function of the scanner projection angle. For select voxels near the periphery of the tumor, this angular profile between the two different tumors appeared similar. Conclusions: A Monte Carlo code has been successfully developed and used to correct for photon propagation effects in blood phantoms and restoring the integrity of the NIR spectra associated with oxygenated and deoxygenated blood. This code can be used to simulate the influence of intra-tumor heterogeneity on the molecular identification via NIR spectroscopy.
机译：目的：本研究的目的是评估光子传播对与光声成像相关的近红外光谱特征的影响。简介：光声CT光谱法（PCT-S）可以识别肿瘤的分子特性，同时克服与光学成像模式（例如OCT和DOT）相关的有限深度分辨率。光声是基于这样的事实，即生物组织在受到脉冲光照射时会由于膨胀体积而产生高频声信号。声信号的振幅与组织的光吸收特性成正比，光吸收特性随波长的变化而变化，具体取决于组织的分子组成。为了获得可量化的信息，必须对肿瘤中的光子和声传播进行建模和校正。材料和方法：已经开发了一种基于MCML的蒙特卡洛（MC）算法（多层爱迪亚的蒙特卡洛），以模拟光子在由一系列复杂3D曲面（Mcml3D）组成的对象中的传播。该代码已用于模拟和校正血液中光子的光学衰减，以及具有均匀和径向异质血管分布的皮下肿瘤。结果：根据蒙特卡洛模拟的光声数据确定的充氧和脱氧血液的NIR光谱与测量数据相匹配，并改善了氧饱和度计算。具有均匀且径向异质分布的血液的皮下肿瘤显示出光子吸收随扫描仪投射角而变化很大。对于肿瘤周边附近的特定体素，两种不同肿瘤之间的这种角轮廓看起来相似。结论：已经成功开发了蒙特卡洛代码，并用于纠正血液幻象中的光子传播效应，并恢复与充氧和脱氧血液相关的NIR光谱的完整性。该代码可用于模拟肿瘤内异质性对通过NIR光谱进行分子鉴定的影响。

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