title: Acceleration of early-photon fluorescence molecular tomography with graphics processing units.
abstract: Fluorescence molecular tomography (FMT) with early-photons can improve the spatial resolution and fidelity of the reconstructed results. However, its computing scale is always large which limits its applications. In this paper, we introduced an acceleration strategy for the early-photon FMT with graphics processing units (GPUs). According to the procedure, the whole solution of FMT was divided into several modules and the time consumption for each module is studied. In this strategy, two most time consuming modules (Gd and W modules) were accelerated with GPU, respectively, while the other modules remained coded in the Matlab. Several simulation studies with a heterogeneous digital mouse atlas were performed to confirm the performance of the acceleration strategy. The results confirmed the feasibility of the strategy and showed that the processing speed was improved significantly.
authors.affiliation: Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Wang
authors.forename: Bin
authors.initials: B
authors.lastname: Zhang
authors.forename: Xu
authors.initials: X
authors.lastname: Cao
authors.forename: Fei
authors.initials: F
authors.lastname: Liu
authors.forename: Jianwen
authors.initials: J
authors.lastname: Luo
authors.forename: Jing
authors.initials: J
authors.lastname: Bai
mesh_terms: D000465:Algorithms; D000818:Animals; D003196:Computer Graphics; D020342:Finite Element Analysis; D005453:Fluorescence; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D051379:Mice; D017785:Photons; D012984:Software; D012985:Software Design; D013997:Time Factors; D014054:Tomography / Q000379:methods* / Q000706:statistics & numerical data