Keywords:
X-ray luminescence computed tomography, X-ray imaging, image reconstruction
Based on X-ray excitable particles, cone-beam X-ray luminescence computed tomography (CB-XLCT) has been proposed recently, which aims to achieve high-sensitivity optical imaging as well as high spatial resolution X-ray imaging. Currently, the imaging model of most XLCT systems is derived from the intensity distribution of X-ray within the object, not completely reflecting the nature of X-ray excitation process and X-ray scattering. To further improve the imaging quality of CB-XLCT, in this study, an imaging model based on X-ray absorption dosage is proposed. As the inverse problem is seriously ill-conditioned, an adaptive Tikhonov Regularization method is used for image reconstruction of CB-XLCT. Imaging experiments with numerical simulations and a physical phantom indicate that when compared with the model based on X-ray intensity, the proposed model based on X-ray dosage improves the image quality of CB-XLCT significantly.
- Tianshuai Liu
- The Fourth Military Medical University
- Junyan Rong
- The Fourth Military Medical University
- Peng Gao
- The Fourth Military Medical University
- Wenlei Liu
- The Fourth Military Medical University
- Hongbing Lu
- The Fourth Military Medical University
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