CASIA OpenIR
Recent methodology advances in fluorescence molecular tomography
An,Yu; Wang,Kun; Tian,Jie
Source PublicationVisual Computing for Industry, Biomedicine, and Art
ISSN2524-4442
2018-09-05
Volume1Issue:1
Corresponding AuthorTian,Jie(tian@ieee.org)
AbstractAbstractMolecular 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, from which future research may benefit.
KeywordFluorescence molecular tomography Image reconstruction Photon propagation model Forward problem Inverse problem
DOI10.1186/s42492-018-0001-6
Language英语
WOS IDBMC:10.1186/s42492-018-0001-6
PublisherSpringer Singapore
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24456
Collection中国科学院自动化研究所
Corresponding AuthorTian,Jie
Affiliation
Recommended Citation
GB/T 7714
An,Yu,Wang,Kun,Tian,Jie. Recent methodology advances in fluorescence molecular tomography[J]. Visual Computing for Industry, Biomedicine, and Art,2018,1(1).
APA An,Yu,Wang,Kun,&Tian,Jie.(2018).Recent methodology advances in fluorescence molecular tomography.Visual Computing for Industry, Biomedicine, and Art,1(1).
MLA An,Yu,et al."Recent methodology advances in fluorescence molecular tomography".Visual Computing for Industry, Biomedicine, and Art 1.1(2018).
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