Recent methodology advances in fluorescence molecular tomography

doi:10.1186/s42492-018-0001-6

	Recent methodology advances in fluorescence molecular tomography
	An,Yu; Wang,Kun; Tian,Jie
刊名	Visual Computing for Industry, Biomedicine, and Art
	2018-09-05
卷号	1 期号:1
关键词	Fluorescence molecular tomography Image reconstruction Photon propagation model Forward problem Inverse problem
ISSN号	2524-4442
DOI	10.1186/s42492-018-0001-6
通讯作者	Tian,Jie(tian@ieee.org)
英文摘要	AbstractMolecular 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.
语种	英语
出版者	Springer Singapore
WOS记录号	BMC:10.1186/S42492-018-0001-6
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/24455]
专题	中国科学院自动化研究所
通讯作者	Tian,Jie
作者单位
推荐引用方式 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).