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A SART algorithm for area integral model in desktop micro-CT system

机译:台式微CT系统中区域积分模型的SART算法

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摘要

Due to the finite size of detector unit, the area integral model (AIM) is closer to reality than the line integral model (LIM) when X-ray beams passing through a sample cast to CCD. A simultaneous algebraic reconstruction technique (SART) algorithm for AIM is proposed for improved image quality. First, a cone-beam to parallel-beam rearranged step was performed to simplify the model computation. Then, a judgement formula was used to quickly find the cells to be traversed by a strip-shaped X-ray beam and an effective method was presented to calculate intersection region. Via the comparison, both simulation and experiment show that this area-based SART has better reconstruction quality than traditional line-based SART. The algorithm is demonstrated the ability to micro-CT reconstruction. This AIM approach could be adapted for other iterative algorithms in fan-beam or small cone- angle beam CT geometry.
机译:由于检测器单元的尺寸有限,当X射线束穿过样品投射到CCD时,面积积分模型(AIM)比线积分模型(LIM)更接近实际。为了提高图像质量,提出了一种针对AIM的同时代数重构技术(SART)算法。首先,执行锥束到平行束重排步骤以简化模型计算。然后,使用判断公式快速找到要通过条形X射线束穿过的细胞,并提出了一种有效的方法来计算相交区域。通过比较,仿真和实验均表明,与传统的基于行的SART相比,基于区域的SART具有更好的重建质量。该算法证明了微CT重建的能力。这种AIM方法可以适用于扇形光束或小锥角束CT几何中的其他迭代算法。

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