title: 4-D reconstruction of fluorescence molecular tomography using re-assembled measurement data.
abstract: Challenges remain in the reconstruction of dynamic (4-D) fluorescence molecular tomography (FMT). In our previous work, we implemented a fully 4-D FMT reconstruction approach using Karhunen-Loève (KL) transformation. However, in the reconstruction processes, the input data were scan-by-scan fluorescence projections. As a result, the reconstruction interval is limited by the data acquisition time for scanning one circle projections, leading to a long time (typically >1 min). In this paper, we propose a new method to reduce the reconstruction interval of dynamic FMT imaging, which is achieved by re-assembling the acquired fluorescence projection sequence. Further, to eliminate the temporal correlations within measurement data, the re-assembled projection sequence is reconstructed by the KL-based method. The numerical simulation and in vivo experiments are performed to evaluate the performance of the method. The experimental results indicate that after re-assembling measurement data, the reconstruction interval can be greatly reduced (~2.5 sec/frame). In addition, the proposed re-assembling method is helpful for improving reconstruction quality of the KL-based method.
authors.affiliation: School of Communication & Information Engineering, Shanghai University, Shanghai 200444, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Liu
authors.affiliation: School of Information and Technology, Northwest University, Xi'an 710127, China.
authors.forename: Xiaowe
authors.initials: X
authors.lastname: He
authors.affiliation: School of Communication & Information Engineering, Shanghai University, Shanghai 200444, China.
authors.forename: Zhuangzhi
authors.initials: Z
authors.lastname: Yan
authors.affiliation: Department of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, China.
authors.forename: Hongbing
authors.initials: H
authors.lastname: Lu
keywords: (170.3010) Image reconstruction techniques; (170.3880) Medical and biological imaging; (170.6280) Spectroscopy, fluorescence and luminescence; (170.6960) Tomography