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Investigation of a Diffuse Optical Tomography-Assisted Quantitative Photoacoustic Tomography in Reflection geometry

机译:反射几何中的光学散射层析辅助定量光声层析成像的研究

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In this paper, we report the experimental investigation of a novel fitting procedure which can detect and quantitatively characterize the optical contrasts of targets using diffuse optical tomography (DOT)-assisted photoacoustic tomography. The hybrid system combines a 64-channel photoacoustic system with a 9-source, 14-detector frequency-domain DOT system. A white probe was used to house the ultrasound transducer, the optical sources and detectors. The experiment was performed in the reflection mode which is more realistic to clinical applications. The fitting procedure included a complete photoacoustic forward model, which incorporated an analytical model of light transport and a model of acoustic propagation. Using the structural information from the PAT images and the background information from DOT measurements, the photoacoustic forward model was used to recover the target absorption coefficient quantitatively. Phantom absorbers, 1 cm in diameter, with absorption coefficients ranging from 0.08 to 0.28 cm~(-1) were imaged at depths of up to 3.0 cm. The fitting results were at least 85% of their true values for both high and low contrast targets. Blood sample in a thin tube of radius 0.6 mm, that was simulating a blood vessel, was also imaged, and the reconstructed images and fitted absorption coefficients are presented. These results illustrate the promising application of this fitting procedure for tissue absorption coefficient characterization and consequently breast cancer diagnosis.
机译:在本文中,我们报告了一种新型拟合程序的实验研究,该程序可以使用漫射光学层析成像(DOT)辅助光声层析成像来检测和定量表征目标的光学对比度。混合系统将64通道光声系统与9源,14探测器频域DOT系统结合在一起。白色探头用于容纳超声换能器,光源和检测器。实验是在反射模式下进行的,这对于临床应用而言更为现实。拟合过程包括完整的光声前向模型,该模型包含了光传输的分析模型和声传播的模型。利用来自PAT图像的结构信息和来自DOT测量的背景信息,使用光声前向模型定量恢复目标吸收系数。直径为1 cm的幻影吸收体在最大3.0 cm的深度成像,吸收系数在0.08到0.28 cm〜(-1)之间。高和低对比度目标的拟合结果至少是其真实值的85%。还对模拟血管的半径为0.6 mm的细管中的血样成像,并显示了重建的图像和拟合的吸收系数。这些结果说明了该拟合方法在组织吸收系数表征以及乳腺癌诊断中的应用前景。

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