摘要
Bioluminescence tomography(BLT)is a novel opt ical molecular imaging technique that advanced the conventional planar bioluminescence imaging(BLI)into a quantifiable three-dimensional(3D)approach in preclinical living animal studies in oncology.In order to solve the inverse problem and reconstruct tumor lesions inside animal body accurately,the prior structural information is com-monly obtained from X ray computed tomography(CT).This strategy requires a complicated hybrid imaging system,extensive post imaging analysis and involvement of ionizing radiation.Moreover,the overall robustness highly depends on the fusion accuracy between the optical and structural information.Here,we present a pure optical bioluminescence tomographic(POBT)system and a novel BLT workfow based on multi-view projection acquisition and 3D surface reconstruction.This met hod can reconstruct the 3D surface of an imaging subject based on a sparse set of planar white-light and bioluminescent images,so that the prior structural information can be offered for 3D tumor lesion reconstruction without the involvement of CT.The performance of this novel technique was evaluated through the comparison with a conventional dual-modality tomo-graphic(DMT)system and a commercialized optical imaging system(IVIS Spectrum)using three breast cancer xenografts.The results revealed that the new technique offered comparable in vivo tomographic accuracy with the DMT system(P>0.05)in much shorter data analysis time.It also offered significantly better accuracy comparing with the IVIS system(P<0.04)without sacrificing too much time.
基金
the National Basic Research Program of China(973 Program)under Grant No.2015CB755500
the National Natural Science Foundation of China under Grant No.81227901,61231004,81527805 and 61401462
the Scienti¯c Research and Equipment Development Project of the Chinese Academy of Sciences under Grant No.YZ201359
the Chinese Academy of Sciences under Grant No.KGZD-EW-T03
the Chinese Academy of Sciences Fellowship for Young International Scientists under Grant No.2013Y1GA0004
the Project funded by China Postdoctoral Science Foundation under Grant Nos.2014M550881,2015T80155.