Recent methodology advances in fluorescence molecular tomography
文献类型：期刊论文
| 作者 | An,Yu; Wang,Kun ; Tian,Jie
|
| 刊名 | Visual Computing for Industry, Biomedicine, and Art
 |
| 出版日期 | 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 |
| WOS记录号 | BMC:10.1186/S42492-018-0001-6 |
| 出版者 | Springer Singapore |
| 源URL | [http://ir.ia.ac.cn/handle/173211/24455]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 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). |
入库方式： OAI收割
来源：自动化研究所
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