Excitation based cone-beam X-ray luminescence tomography of nanophosphors with different concentrations Peng Gao*, Huangsheng Pu*, Junyan Rong, Wenli Zhang,

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Excitation based cone-beam X-ray luminescence tomography of nanophosphors with different concentrations Peng Gao*, Huangsheng Pu*, Junyan Rong, Wenli Zhang, Tianshuai Liu, Wenlei Liu, and Hongbing Lu§ Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, Shaanxi 710032, China §luhb@fmmu.edu.cn (1) Introduction Results Cone beam X-ray luminescence computed tomography (CB-XLCT) has been proposed as a promising hybrid molecular imaging modality in recent years with the development of X-ray excitable nanophosphors[1-2]. However, the ill-posedness of the CB-XLCT inverse problem degrades the image quality and makes it difficult to resolve adjacent luminescent targets with different concentrations, which is essential in the monitoring of nanoparticle metabolism and drug delivery. Nanophosphors of different concentrations behave differently when excited by X-rays of different energies. In this study, to resolve adjacent targets with different concentrations, a multi-voltage excitation scheme is first proposed. Then the principal component analysis (PCA) is applied to multi-voltage XLCT reconstructions to separate targets with different behaviors[3]. Imaging experiments with physical phantoms demonstrate the feasibility of the proposed method on resolving two adjacent targets with different concentrations. Figure 2 shows the results of reconstructed XLCT tomographic images, which were obtained at different X-ray voltages. It indicates that it is difficult to resolve the two adjacent luminescence targets by conventional reconstruction algorithm. Fig. 2. Tomographic images of nanophosphor distributions in the phantom experiment reconstructed from EMCCD measurements acquired at a given voltages (40, 50, 60, 70, and 80 kV. Z=1.1 mm). The red curves in each image depict the phantom boundary. Base on the above XLCT images acquired at different X-ray tube voltages, PCA was applied on different combinations of XLCT images, as shown in Table 1. Methods X-rays emitted from the X-ray source travel through tissues or a phantom, and irradiate nanophosphors inside to emit visible or near-infrared light (NIR)[4]. The following matrix equation representing the relationship between the nanophosphor concentration ρ and the photon measurement Φmeas: where W is the weighted matrix used to map the unknown nanophosphor distribution ρ to the known measurements Φmeas. In this study, for photon measurements acquired at certain X-ray tube voltage, the unknown ρ is obtained by using the algebraic reconstruction technique (ART) with the nonnegative constraint. Suppose the reconstructed multi-voltage XLCT images are denoted as X={X1, X2, …, Xi, …, XN}, while N is the number of X-ray tube voltages used in the experiment, and Xi is the reconstructed nanophosphor distribution excited at a given tube voltage, represented as a M×1 column vector consisting of all pixels. To resolve targets with different concentrations, PCA is applied on the reconstructed XLCT images acquired at different X-ray tube voltages. In this study, by analyzing the distribution of different nanophosphor concentrations in each PC of multi-voltage XLCT images, we propose a PC-based decomposition method to resolve two adjacent targets with different concentrations. A custom-made CB-XLCT system developed in our laboratory was adopted to conduct the phantom experiments. The configuration of the physical phantom is shown in Fig. 1. Two small transparent glass tubes with outer diameter of 0.4 cm were positioned inside the cylinder, containing nanophosphors (Y2O3:Eu3+) with concentrations of 50 mg/ml and 100 mg/ml, respectively. The edge-to-edge distance (EED) of the two tubes was set to 0 mm, which was used to mimic two adjacent organs. The nanophosphors in the phantom were irradiated by a series of X-ray voltages ranging from 40 kV to 80 kV under a constant current of 0.5 mA. The luminescence projection images were acquired at a 15° step during a 360° angle span. Table 1. Different combinations of XLCT images acquired at various X-ray voltages Case # Number of XLCT images X-ray voltages (kV) Case 1 5 40,50,60,70,80 Case 2 4 40,50,60,70 Case 3 3 40,50,60 Case 4 2 40,50 𝑊𝜌= Φ meas Fig. 3 shows the PC2-XLCT images generated from different voltage combinations. The results shown in Fig. 3. demonstrate that the two tubes with different concentrations of nanophosphors can be separated in all cases by the proposed PCA applied on reconstructed multi-voltage XLCT images. Fig. 3. Tomographic (z =1.1 cm) and 3D results of PC2 obtained from different combinations of tube voltages. All the images are displayed in the same range. Acknowledgments This work is partially supported by the National Natural Science Foundation of China under Grant No. 81230035 References [1] D. Chen, S. Zhu, H. Yi, X. Zhang, et al. Medical physics 40(2013). [2] X. Liu, Q. Liao, and H. Wang. Optics letters 38, 4530-4533 (2013). [3] X. Liu, Q. Liao, H. Wang, and Z. Yan. Journal of biomedical optics 20, 070501-070501 (2015). [4] G. Pratx, et al. Medical Imaging, IEEE Transactions on 29(12), 1992-1999 (2010) Fig. 1. Illustration of the second phantom experiment. (a) Representative X-ray projection of the phantom. The region between the red and green lines is used for this study. (b) Representative CT image slice of the phantom, corresponding to the slice indicated by the blue line in (a).