摘要
Optical molecular tomography(OMT)is an imaging modality which uses an optical signal,especially near-infrared light,to reconstruct the three-dimensional information of the light source in biological tissue.With the advantages of being low-cost,noninvasive and having high sensitivity,OMT has been applied in preclinical and clinical research.However,due to its serious ill-posedness and illcondition,the solution of OMT requires heavy data analysis and the reconstruction quality is limited.Recently,the artificial intelligence(commonly known as AI)-based methods have been proposed to provide a different tool to solve the OMT problem.In this paper,we review the progress on OMT algorithms,from conventional methods to AI-based methods,and we also give a prospective towards future developments in this domain.
基金
Supported by the National Natural Science Foundation of China,No.61701403
the Project Funded by China Post-doctoral Science Foundation,No.2018M643719
the Young Talent Support Program of the Shaanxi Association for Science and Technology,No.20190107
the Scientific Research Program Funded by Shaanxi Provincial Education Department,No.18JK0767
and the Natural Science Research Plan Program in Shaanxi Province of China,No.2017JQ6006.
