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Recent Technical Advances in Accelerating the Clinical Translation of Small Animal Brain Imaging: Hybrid Imaging, Deep Learning, and Transcriptomics | |
2022-03-24 | |
发表期刊 | FRONTIERS IN MEDICINE (IF:3.1[JCR-2023],3.4[5-Year]) |
EISSN | 2296-858X |
卷号 | 9 |
发表状态 | 已发表 |
DOI | 10.3389/fmed.2022.771982 |
摘要 | Small animal models play a fundamental role in brain research by deepening the understanding of the physiological functions and mechanisms underlying brain disorders and are thus essential in the development of therapeutic and diagnostic imaging tracers targeting the central nervous system. Advances in structural, functional, and molecular imaging using MRI, PET, fluorescence imaging, and optoacoustic imaging have enabled the interrogation of the rodent brain across a large temporal and spatial resolution scale in a non-invasively manner. However, there are still several major gaps in translating from preclinical brain imaging to the clinical setting. The hindering factors include the following: (1) intrinsic differences between biological species regarding brain size, cell type, protein expression level, and metabolism level and (2) imaging technical barriers regarding the interpretation of image contrast and limited spatiotemporal resolution. To mitigate these factors, single-cell transcriptomics and measures to identify the cellular source of PET tracers have been developed. Meanwhile, hybrid imaging techniques that provide highly complementary anatomical and molecular information are emerging. Furthermore, deep learning-based image analysis has been developed to enhance the quantification and optimization of the imaging protocol. In this mini-review, we summarize the recent developments in small animal neuroimaging toward improved translational power, with a focus on technical improvement including hybrid imaging, data processing, transcriptomics, awake animal imaging, and on-chip pharmacokinetics. We also discuss outstanding challenges in standardization and considerations toward increasing translational power and propose future outlooks. |
关键词 | deep learning magnetic resonance imaging multimodal imaging neuroimaging positron emission tomography optoacoustic imaging image registration fluorescence imaging |
URL | 查看原文 |
收录类别 | SCI ; SCIE |
语种 | 英语 |
资助项目 | University of Zurich[MEDEF-20-021] |
WOS研究方向 | General & Internal Medicine |
WOS类目 | Medicine, General & Internal |
WOS记录号 | WOS:000782109800001 |
出版者 | FRONTIERS MEDIA SA |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/176058 |
专题 | 信息科学与技术学院_PI研究组_任无畏组 |
通讯作者 | Ren, Wuwei; Ni, Ruiqing |
作者单位 | 1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China 2.Shanghai Engn Res Ctr Energy Efficient & Custom A, Shanghai, Peoples R China 3.Fudan Univ, Sch Pharm, Dept Radiopharm & Mol maging, Shanghai, Peoples R China 4.Fudan Univ, Huashan Hosp, PET Ctr, Shanghai, Peoples R China 5.Shanghai Changes Tech Ltd, Shanghai, Peoples R China 6.Univ Zurich, Inst Regenerat Med, Zurich, Switzerland 7.Swiss Fed Inst Technol, Inst Biomed Engn, Zurich, Switzerland 8.Univ Zurich, Zurich, Switzerland |
第一作者单位 | 信息科学与技术学院 |
通讯作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Ren, Wuwei,Ji, Bin,Guan, Yihui,et al. Recent Technical Advances in Accelerating the Clinical Translation of Small Animal Brain Imaging: Hybrid Imaging, Deep Learning, and Transcriptomics[J]. FRONTIERS IN MEDICINE,2022,9. |
APA | Ren, Wuwei,Ji, Bin,Guan, Yihui,Cao, Lei,&Ni, Ruiqing.(2022).Recent Technical Advances in Accelerating the Clinical Translation of Small Animal Brain Imaging: Hybrid Imaging, Deep Learning, and Transcriptomics.FRONTIERS IN MEDICINE,9. |
MLA | Ren, Wuwei,et al."Recent Technical Advances in Accelerating the Clinical Translation of Small Animal Brain Imaging: Hybrid Imaging, Deep Learning, and Transcriptomics".FRONTIERS IN MEDICINE 9(2022). |
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