Pu Huangsheng, Gao Peng, Rong Junyan, Zhang Wenli, Liu Tianshuai, Lu Hongbing
Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
Biomed Opt Express. 2018 May 30;9(6):2844-2858. doi: 10.1364/BOE.9.002844. eCollection 2018 Jun 1.
Cone-beam X-ray luminescence computed tomography (CB-XLCT) has become a promising technique for its higher utilization of X-ray and shorter scanning time compared to the narrow-beam XLCT, but it suffers from the low-spatial resolution that results in the insufficiency to resolve the adjacent multiple probes. In multispectral CB-XLCT, multiple probes show different emission behaviors in the dimension of the spectrum. In this work, a spectral-resolved CB-XLCT method combining multispectral CB-XLCT with principle component analysis (PCA) was proposed to improve the imaging resolution. Results of digital simulation and the phantom experiment illustrated that the proposed method was capable of resolving adjacent multiple probes accurately and had better performance than the common multispectral CB-XLCT with spectrum information .
锥形束X射线发光计算机断层扫描(CB-XLCT)因其与窄束XLCT相比对X射线的利用率更高且扫描时间更短,已成为一种很有前景的技术,但它存在空间分辨率低的问题,导致无法分辨相邻的多个探针。在多光谱CB-XLCT中,多个探针在光谱维度上表现出不同的发射行为。在这项工作中,提出了一种将多光谱CB-XLCT与主成分分析(PCA)相结合的光谱分辨CB-XLCT方法,以提高成像分辨率。数字模拟和体模实验结果表明,该方法能够准确分辨相邻的多个探针,并且比具有光谱信息的普通多光谱CB-XLCT具有更好的性能。