A wavelet-based single-view reconstruction approach for cone beam x-ray luminescence tomography imaging

Xin Liu; Hongkai Wang; Mantao Xu; Shengdong Nie; Hongbing Lu

doi:10.1364/BOE.5.003848

A wavelet-based single-view reconstruction approach for cone beam x-ray luminescence tomography imaging

Biomed Opt Express. 2014 Oct 9;5(11):3848-58. doi: 10.1364/BOE.5.003848. eCollection 2014 Nov 1.

Authors

Xin Liu¹, Hongkai Wang², Mantao Xu³, Shengdong Nie¹, Hongbing Lu⁴

Affiliations

¹ School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
² Department of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
³ School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China ; School of Computing, University of Eastern Finland, Box 111, FIN-80101 Joensuu, Finland.
⁴ Department of Computation Application, School of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, China ; bme.hb.lu@gmail.com.

Abstract

Single-view x-ray luminescence computed tomography (XLCT) imaging has short data collection time that allows non-invasively and fast resolving the three-dimensional (3-D) distribution of x-ray-excitable nanophosphors within small animal in vivo. However, the single-view reconstruction suffers from a severe ill-posed problem because only one angle data is used in the reconstruction. To alleviate the ill-posedness, in this paper, we propose a wavelet-based reconstruction approach, which is achieved by applying a wavelet transformation to the acquired singe-view measurements. To evaluate the performance of the proposed method, in vivo experiment was performed based on a cone beam XLCT imaging system. The experimental results demonstrate that the proposed method cannot only use the full set of measurements produced by CCD, but also accelerate image reconstruction while preserving the spatial resolution of the reconstruction. Hence, it is suitable for dynamic XLCT imaging study.

Keywords: (110.7440) X-ray imaging; (170.3010) Image reconstruction techniques; (170.3880) Medical and biological imaging; (170.6280) Spectroscopy, fluorescence and luminescence; (170.6960) Tomography.