Recent Technical Advances in Accelerating the Clinical Translation of Small Animal Brain Imaging: Hybrid Imaging, Deep Learning, and Transcriptomics

doi:10.3389/fmed.2022.771982

	Recent Technical Advances in Accelerating the Clinical Translation of Small Animal Brain Imaging: Hybrid Imaging, Deep Learning, and Transcriptomics
	Ren, Wuwei1,2 ; Ji, Bin 3; Guan, Yihui 4; Cao, Lei 5; Ni, Ruiqing 6,7,8
	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...
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).