Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69373, LYON, France.
University of Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, F-69622, Villeurbanne, France.
Phys Med Biol. 2020 Nov 17;65(22):225015. doi: 10.1088/1361-6560/abbd18.
Proton computed tomography (CT) is an imaging modality investigated mainly in the context of proton therapy as a complement to x-ray CT. It uses protons with high enough energy to fully traverse the imaged object. Common prototype systems measure each proton's position and direction upstream and downstream of the object as well as the energy loss which can be converted into the water equivalent thickness. A reconstruction algorithm then produces a map of the relative stopping power in the object. As an alternative to energy-loss proton CT, it has been proposed to reconstruct a map of the object's scattering power based on the protons' angular dispersion which can be estimated from the measured directions. As in energy-loss proton CT, reconstruction should best be performed considering the non-linear shape of proton trajectories due to multiple Coulomb scattering (MCS), but no algorithm to achieve this is so far available in the literature. In this work, we propose a filtered backprojection algorithm with distance-driven binning to account for the protons' most likely path. Furthermore, we present a systematic study of scattering proton CT in terms of inherent noise and spatial resolution and study the artefacts which arise from the physics of MCS. Our analysis is partly based on analytical models and partly on Monte Carlo simulations. Our results show that the proposed algorithm performs well in reconstructing relative scattering power maps, i.e. scattering power relative to that of water. Spatial resolution is improved by almost a factor of three compared to straight line projection and is comparable to energy-loss proton CT. Image noise, on the other hand, is inherently much higher. For example, in a water cylinder of 20 cm diameter, representative of a human head, noise in the central image pixel is about 40 times higher in scattering proton CT than in energy-loss proton CT. Relative scattering power in dense regions such as bone inserts is systematically underestimated by a few percent, depending on beam energy and phantom geometry.
质子计算机断层扫描(CT)是一种主要在质子治疗的背景下作为 X 射线 CT 的补充进行研究的成像方式。它使用能量足够高的质子完全穿透被成像的物体。常见的原型系统在物体的上下游测量每个质子的位置和方向,以及能量损失,这些损失可以转化为水当量厚度。然后,重建算法生成物体中相对阻止能力的图谱。作为能量损失质子 CT 的替代方案,已经提出根据可以从测量的方向估计的质子角分散来重建物体散射能力的图谱。与能量损失质子 CT 一样,由于多次库仑散射(MCS),最好在考虑质子轨迹的非线性形状的情况下进行重建,但目前文献中还没有可用的算法。在这项工作中,我们提出了一种带距离驱动-bin 的滤波反投影算法,以考虑质子的最可能路径。此外,我们还系统地研究了散射质子 CT 的固有噪声和空间分辨率,并研究了由于 MCS 物理产生的伪影。我们的分析部分基于分析模型,部分基于蒙特卡罗模拟。我们的结果表明,所提出的算法在重建相对散射功率图谱方面表现良好,即相对于水的散射功率。与直线投影相比,空间分辨率提高了近三倍,与能量损失质子 CT 相当。另一方面,图像噪声本质上要高得多。例如,在直径为 20 厘米的水圆柱中,代表人头,散射质子 CT 中心图像像素的噪声比能量损失质子 CT 高约 40 倍。根据束能和体模几何形状,骨插入等密集区域的相对散射功率会系统地低估几个百分点。