Fluorescence molecular tomography(FMT)is a fast-developing optical imaging modalitythat has great potential in early diagnosis of disease and drugs development.However,recon-struction algorithms have to address a high...Fluorescence molecular tomography(FMT)is a fast-developing optical imaging modalitythat has great potential in early diagnosis of disease and drugs development.However,recon-struction algorithms have to address a highly ill-posed problem to fulfll 3D reconstruction inFMT.In this contribution,we propose an efficient iterative algorithm to solve the large-scalereconstruction problem,in which the sparsity of fluorescent targets is taken as useful a prioriinformation in designing the reconstruction algorithm.In the implementation,a fast sparseapproximation scheme combined with a stage-wise learning strategy enable the algorithm to dealwith the ill-posed inverse problem at reduced computational costs.We validate the proposed fastiterative method with numerical simulation on a digital mouse model.Experimental results demonstrate that our method is robust for different finite element meshes and different Poissonnoise levels.展开更多
Fluorescence tomography can obtain a sufficient dataset and optimal three-dimensional imageswhen projections are captured over 360◦ by CCD camera. Herein a non-stop dynamic samplingmode for fluorescence tomography is ...Fluorescence tomography can obtain a sufficient dataset and optimal three-dimensional imageswhen projections are captured over 360◦ by CCD camera. Herein a non-stop dynamic samplingmode for fluorescence tomography is proposed in an attempt to improve the optical measurementspeed of the traditional imaging system and stability of the object to be imaged. A series ofsimulations are carried out to evaluate the accuracy of dataset acquired from the dynamicsampling mode. Reconstruction with the corresponding data obtained in the dynamic-modeprocess is also performed with the phantom. The results demonstrate the feasibility of suchan imaging mode when the angular velocity is set to the appropriate value, thus laying thefoundation for real experiments to verify the superiority in performance of this new imagingmode over the traditional one.展开更多
Molecular imaging(MI)is a novel imaging discipline that has been continuously developed in recent years.It combines biochemistry,multimodal imaging,biomathematics,bioinformatics,cell&molecular physiology,biophysic...Molecular imaging(MI)is a novel imaging discipline that has been continuously developed in recent years.It combines biochemistry,multimodal imaging,biomathematics,bioinformatics,cell&molecular physiology,biophysics,and pharmacology,and it provides a new technology platform for the early diagnosis and quantitative analysis of diseases,treatment monitoring and evaluation,and the development of comprehensive physiology.Fluorescence Molecular Tomography(FMT)is a type of optical imaging modality in MI that captures the three-dimensional distribution of fluorescence within a biological tissue generated by a specific molecule of fluorescent material within a biological tissue.Compared with other optical molecular imaging methods,FMT has the characteristics of high sensitivity,low cost,and safety and reliability.It has become the research frontier and research hotspot of optical molecular imaging technology.This paper took an overview of the recent methodology advances in FMT,mainly focused on the photon propagation model of FMT based on the radiative transfer equation(RTE),and the reconstruction problem solution consist of forward problem and inverse problem.We introduce the detailed technologies utilized in reconstruction of FMT.Finally,the challenges in FMT were discussed.This survey aims at summarizing current research hotspots in methodology of FMT,fromwhich future research may benefit.展开更多
We report on tests of combined positron emission tomography(PET)andfluorescence molecular tomography(FMT)imaging system for in vivo investigation on small animals.A nude mouse was inoculated with MD-MB-231 breast canc...We report on tests of combined positron emission tomography(PET)andfluorescence molecular tomography(FMT)imaging system for in vivo investigation on small animals.A nude mouse was inoculated with MD-MB-231 breast cancer cells which expressed redfluorescent protein(RFP).For FMT system,reflective illumination mode was adopted with full-angle data acquisition.[18F]-Fluorodeoxyglucose([18F]-FDG)was used as radioactive tracer for PET.Both data were acquired simultaneously and then reconstructed separately before fusion.Fluorescent tomography results showed exactly where the tumor was located while PET results offered more metabolic information.Results confirmed feasibility for tumor detection and showed superiority to single modality imaging.展开更多
For fluorescence molecular tomography(FMT),image quality could be improved by incorporating a sparsity constraint.The L1 norm regularization method has been proven better than the L2 norm,like Tikhonov regularization....For fluorescence molecular tomography(FMT),image quality could be improved by incorporating a sparsity constraint.The L1 norm regularization method has been proven better than the L2 norm,like Tikhonov regularization.However,the Tikhonov method was found capable of achieving a similar quality at a high iteration cost by adopting a zeroing strategy.By studying the reason,a Tikhonov-regularization-based projecting sparsity pursuit method was proposed that reduces the iterations significantly and achieves good image quality.It was proved in phantom experiments through time-domain FMT that the method could obtain higher accuracy and less oversparsity and is more applicable for heterogeneous-target reconstruction,compared with several regularization methods implemented in this Letter.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.61372046)the Research Fund for the Doctoral Program ofHigher Education of China(New Teachers)(Grant No.20116101120018)+4 种基金the China Postdoctoral Sci-ence_Foundation_Funded Project(Grant_Nos.2011M501467 and 2012T50814)the Natural Sci-ence Basic Research Plan in Shaanxi Province of China(Grant No.2011JQ1006)the Fund amental Research Funds for the Central Universities(Grant No.GK201302007)Science and Technology Plan Program in Shaanxi Province of China(Grant Nos.2012 KJXX-29 and 2013K12-20-12)the Scienceand Technology Plan Program in Xi'an of China(Grant No.CXY 1348(2)).
文摘Fluorescence molecular tomography(FMT)is a fast-developing optical imaging modalitythat has great potential in early diagnosis of disease and drugs development.However,recon-struction algorithms have to address a highly ill-posed problem to fulfll 3D reconstruction inFMT.In this contribution,we propose an efficient iterative algorithm to solve the large-scalereconstruction problem,in which the sparsity of fluorescent targets is taken as useful a prioriinformation in designing the reconstruction algorithm.In the implementation,a fast sparseapproximation scheme combined with a stage-wise learning strategy enable the algorithm to dealwith the ill-posed inverse problem at reduced computational costs.We validate the proposed fastiterative method with numerical simulation on a digital mouse model.Experimental results demonstrate that our method is robust for different finite element meshes and different Poissonnoise levels.
文摘Fluorescence tomography can obtain a sufficient dataset and optimal three-dimensional imageswhen projections are captured over 360◦ by CCD camera. Herein a non-stop dynamic samplingmode for fluorescence tomography is proposed in an attempt to improve the optical measurementspeed of the traditional imaging system and stability of the object to be imaged. A series ofsimulations are carried out to evaluate the accuracy of dataset acquired from the dynamicsampling mode. Reconstruction with the corresponding data obtained in the dynamic-modeprocess is also performed with the phantom. The results demonstrate the feasibility of suchan imaging mode when the angular velocity is set to the appropriate value, thus laying thefoundation for real experiments to verify the superiority in performance of this new imagingmode over the traditional one.
基金supported by Ministry of Science and Technology of China under Grant No.2017YFA0205200,2016YFC0103702National Natural Science Foundation of China under Grant No.81227901,81527805‘Chinese Academy of Sciences under Grant No.GJJSTD20170004’Beijing Municipal Science&Technology Commission No.Z161100002616022by the General Financial Grant from the China Postdoctoral Science Foundation under Grant 2017 M620952.
文摘Molecular imaging(MI)is a novel imaging discipline that has been continuously developed in recent years.It combines biochemistry,multimodal imaging,biomathematics,bioinformatics,cell&molecular physiology,biophysics,and pharmacology,and it provides a new technology platform for the early diagnosis and quantitative analysis of diseases,treatment monitoring and evaluation,and the development of comprehensive physiology.Fluorescence Molecular Tomography(FMT)is a type of optical imaging modality in MI that captures the three-dimensional distribution of fluorescence within a biological tissue generated by a specific molecule of fluorescent material within a biological tissue.Compared with other optical molecular imaging methods,FMT has the characteristics of high sensitivity,low cost,and safety and reliability.It has become the research frontier and research hotspot of optical molecular imaging technology.This paper took an overview of the recent methodology advances in FMT,mainly focused on the photon propagation model of FMT based on the radiative transfer equation(RTE),and the reconstruction problem solution consist of forward problem and inverse problem.We introduce the detailed technologies utilized in reconstruction of FMT.Finally,the challenges in FMT were discussed.This survey aims at summarizing current research hotspots in methodology of FMT,fromwhich future research may benefit.
基金The authors would like to thank X.Zhang,faculty of XinAoMDT Technology Co.,Ltd.,for the work of system software development.This work is supported by the National Natural Science Foundation of China under Grant Nos.81071191,60831003,30930092,30872633the Tsinghua-Yue-Yuen Medical Science Foundationthe National Basic Research Program of China(973)under Grant No.2011CB707701.
文摘We report on tests of combined positron emission tomography(PET)andfluorescence molecular tomography(FMT)imaging system for in vivo investigation on small animals.A nude mouse was inoculated with MD-MB-231 breast cancer cells which expressed redfluorescent protein(RFP).For FMT system,reflective illumination mode was adopted with full-angle data acquisition.[18F]-Fluorodeoxyglucose([18F]-FDG)was used as radioactive tracer for PET.Both data were acquired simultaneously and then reconstructed separately before fusion.Fluorescent tomography results showed exactly where the tumor was located while PET results offered more metabolic information.Results confirmed feasibility for tumor detection and showed superiority to single modality imaging.
基金supported by the National Natural Science Foundation of China(Nos.81561168023,61871251,and 61871022).
文摘For fluorescence molecular tomography(FMT),image quality could be improved by incorporating a sparsity constraint.The L1 norm regularization method has been proven better than the L2 norm,like Tikhonov regularization.However,the Tikhonov method was found capable of achieving a similar quality at a high iteration cost by adopting a zeroing strategy.By studying the reason,a Tikhonov-regularization-based projecting sparsity pursuit method was proposed that reduces the iterations significantly and achieves good image quality.It was proved in phantom experiments through time-domain FMT that the method could obtain higher accuracy and less oversparsity and is more applicable for heterogeneous-target reconstruction,compared with several regularization methods implemented in this Letter.
