Experimental study to optimize configurations of PCD Spectral CT
Article type: Research Article
Authors: Guo, Xiaoyuea; b | Zhang, Lia; b | Xing, Yuxianga; b; *
Affiliations: [a] Department of Engineering Physics, Tsinghua University, Beijing, China | [b] Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education, Beijing, China
Correspondence: [*] Corresponding author: Yuxiang Xing, Department of Engineering Physics, Tsinghua University, Beijing, 100084, China. Tel.: +86 62782510; Fax: +86 62782967; E-mail: xingyx@mail.tsinghua.edu.cn.
Abstract: BACKGROUND:High dose efficiency of photon counting detector based spectral CT (PCD-SCT) and its value in some clinical diagnosis have been well acknowledged. However, it has not been widely adopted in practical use for medical diagnosis and security inspection. OBJECTIVE:To evaluate the influence on PCD-SCT from multiple aspects including the number of energy channels, k-edge materials, energy thresholding, basis functions in spectral information decomposition, and the combined optimal setting for these parameters and configurations. METHODS:Basis material decomposition after spatial reconstruction is applied for PCD-SCT. A “one-step” synthesis method, merging decomposition with synthesis, is proposed to obtain virtual monochromatic images. An I-RMSE is computed using the bias part of I-RMSE to describe the difference of a synthesized signal from ground truth and the standard deviation part of I-RMSE to express the noise level. In addition, virtual monochromatic images commonly used in the medical area are also synthesized. Both numerical simulations and practical experiments are conducted for validation. RESULTS:Results indicated that the I-RMSE for matters significantly reduced with an increased number of energy channels compared with dual-energy channel. The maximum reduction is 6% for triple-, 18% for quadruple-and 24% for quintuple-energy, respectively. However, the improvement is not linear, and also slows down after the number of energy channels reaches a certain number. Contrast agents of high concentration can introduce up to 50% error to surrounding matters. Moreover, different energy partitions influence the total error, which demonstrates the necessity of energy threshold optimization. Last, the optimal basis-material combination varies according to targeted imaging matters and the interested monochromatic energies. CONCLUSIONS:Gain from more energy channels could be significant with the increase of energy channel number. Introduction of contrast agents in scanned objects will increase overall error in spectral CT imaging. Energy thresholding optimization is beneficial for information recovery. Moreover, the choice of basis materials could also be important to obtain low noise results. With these studies of the effect from various configurations for PCD-SCT, one may optimize the configuration of PCD-SCT accordingly.
Keywords: Spectral CT, photon counting detector (PCD), multi-energy, material decomposition, virtual monochromatic
DOI: 10.3233/XST-180407
Journal: Journal of X-Ray Science and Technology, vol. 26, no. 6, pp. 1011-1027, 2018
