Research Papers: Imaging

Numerical simulation of x-ray luminescence optical tomography for small-animal imaging

[+] Author Affiliations
Changqing Li

University of California, School of Engineering, Merced, Merced, California 95343

Arnulfo Martínez-Dávalos

Universidad Nacional Autónoma de México, Instituto de Física, A.P. 20-364, 01000 México D.F., Mexico

Simon R. Cherry

University of California, Department of Biomedical Engineering, Davis, Davis, California 95616

J. Biomed. Opt. 19(4), 046002 (Apr 02, 2014). doi:10.1117/1.JBO.19.4.046002
History: Received December 9, 2013; Revised February 27, 2014; Accepted March 3, 2014
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Abstract.  X-ray luminescence optical tomography (XLOT) is an emerging hybrid imaging modality in which x-ray excitable particles (phosphor particles) emit optical photons when stimulated with a collimated x-ray beam. XLOT can potentially combine the high sensitivity of optical imaging with the high spatial resolution of x-ray imaging. For reconstruction of XLOT data, we compared two reconstruction algorithms, conventional filtered backprojection (FBP) and a new algorithm, x-ray luminescence optical tomography with excitation priors (XLOT-EP), in which photon propagation is modeled with the diffusion equation and the x-ray beam positions are used as reconstruction priors. Numerical simulations based on dose calculations were used to validate the proposed XLOT imaging system and the reconstruction algorithms. Simulation results showed nanoparticle concentrations reconstructed with XLOT-EP are much less dependent on scan depth than those obtained with FBP. Measurements at just two orthogonal projections are sufficient for XLOT-EP to reconstruct an XLOT image for simple source distributions. The heterogeneity of x-ray energy deposition is included in the XLOT-EP reconstruction and improves the reconstruction accuracy, suggesting that there is a need to calculate the x-ray energy distribution for experimental XLOT imaging.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Topics

X-rays

Citation

Changqing Li ; Arnulfo Martínez-Dávalos and Simon R. Cherry
"Numerical simulation of x-ray luminescence optical tomography for small-animal imaging", J. Biomed. Opt. 19(4), 046002 (Apr 02, 2014). ; http://dx.doi.org/10.1117/1.JBO.19.4.046002


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