Chair of Biomedical Physics, Department of Physics and Munich School of Bioengineering, Technical University of Munich, Garching, Germany.
Department of Diagnostic and Interventional Radiology, Technical University of Munich, Klinikum Rechts der Isar, München, Germany.
PLoS One. 2019 Jul 17;14(7):e0219659. doi: 10.1371/journal.pone.0219659. eCollection 2019.
The recent progress in photon-counting detector technology using high-Z semiconductor sensors provides new possibilities for spectral x-ray imaging. The benefits of the approach to extract spectral information directly from measurements in the projection domain are very advantageous for material science studies with x-rays as polychromatic artifacts like beam-hardening are handled properly. Since related methods require accurate knowledge of all energy-dependent system parameters, we utilize an adapted semi-empirical model, which relies on a simple calibration procedure. The method enables a projection-based decomposition of photon-counting raw-data into basis material projections. The objective of this paper is to investigate the method's performance applied to x-ray micro-CT with special focus on applications in material science and non-destructive testing. Projection-based dual-energy micro-CT is shown to be of good quantitative accuracy regarding material properties such as electron densities and effective atomic numbers. Furthermore, we show that the proposed approach strongly reduces beam-hardening artifacts and improves image contrast at constant measurement time.
近年来,使用高 Z 值半导体传感器的光子计数探测器技术取得了新的进展,为光谱 X 射线成像提供了新的可能性。该方法的优点是可以直接从投影域的测量中提取光谱信息,这对于 X 射线材料科学研究非常有利,因为它可以正确处理多色伪影,如束硬化。由于相关方法需要准确了解所有与能量相关的系统参数,因此我们利用了一种经过修正的半经验模型,该模型依赖于简单的校准程序。该方法可以基于投影将光子计数原始数据分解为基础材料的投影。本文的目的是研究该方法在 X 射线微计算机断层扫描中的应用,特别关注材料科学和无损检测领域的应用。结果表明,基于投影的双能微计算机断层扫描在电子密度和有效原子序数等材料特性方面具有良好的定量精度。此外,我们还表明,该方法可以大大减少束硬化伪影,并在保持测量时间不变的情况下提高图像对比度。