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Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography

机译:精确的基于模型的三维光声层析成像重建算法

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摘要

In many practical optoacoustic imaging implementations, dimensionality of the tomographic problem is commonly reduced into two dimensions or 1-D scanning geometries in order to simplify technical implementation, improve imaging speed or increase signal-to-noise ratio. However, this usually comes at a cost of significantly reduced quality of the tomographic data, out-of-plane image artifacts, and overall loss of image contrast and spatial resolution. Quantitative optoacoustic image reconstruction implies therefore collection of point 3-D (volumetric) data from as many locations around the object as possible. Here, we propose and validate an accurate model-based inversion algorithm for 3-D optoacoustic image reconstruction. Superior performance versus commonly-used backprojection inversion algorithms is showcased by numerical simulations and phantom experiments.
机译:在许多实际的光声成像实现中,层析成像问题的维数通常被减小为二维或一维扫描几何形状,以便简化技术实现,提高成像速度或增加信噪比。然而,这通常以显着降低断层扫描数据的质量,平面外图像伪影以及图像对比度和空间分辨率的整体损失为代价。定量光声图像重建因此意味着从物体周围尽可能多的位置收集点3-D(体积)数据。在这里,我们提出并验证了一种基于模型的精确反演算法,用于3D光声图像重建。数值模拟和幻象实验展示了优于常用反投影反演算法的性能。

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