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ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation
Li, Hai1,2,3; Fan, Lingzhong1,3; Zhuo, Junjie1; Wang, Jiaojian4; Zhang, Yu1,2; Yang, Zhengyi1; Jiang, Tianzi1,2,3,4,5,6
AbstractThere is a longstanding effort to parcellate brain into areas based on micro-structural, macro-structural, or connectional features, forming various brain atlases. Among them, connectivity-based parcellation gains much emphasis, especially with the considerable progress of multimodal magnetic resonance imaging in the past two decades. The Brainnetome Atlas published recently is such an atlas that follows the framework of connectivity-based parcellation. However, in the construction of the atlas, the deluge of high resolution multimodal MRI data and time-consuming computation poses challenges and there is still short of publically available tools dedicated to parcellation. In this paper, we present an integrated open source pipeline(,named Automatic Tractography-based Parcellation Pipeline (ATPP) to realize the framework of parcellation with automatic processing and massive parallel computing. ATPP is developed to have a powerful and flexible command line version, taking multiple regions of interest as input, as well as a user-friendly graphical user interface version for parcellating single region of interest. We demonstrate the two versions by parcellating two brain regions, left precentral gyrus and middle frontal gyrus, on two independent datasets. In addition, ATPP has been successfully utilized and fully validated in a variety of brain regions and the human Brainnetome Atlas, showing the capacity to greatly facilitate brain parcellation.
KeywordParcellation Brain Atlas Neuroimaging Pipeline Diffusion Tractography Parallel Computing
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI
Funding OrganizationNational Natural Science Foundation of China(91132301 ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02030300) ; Science Frontier Program of the Chinese Academy of Sciences(QYZDJ-SSW-SMC019) ; Beijing Municipal Science and Technology Commission(Z161100000216139) ; 31620103905 ; 81501179)
WOS Research AreaMathematical & Computational Biology ; Neurosciences & Neurology
WOS SubjectMathematical & Computational Biology ; Neurosciences
WOS IDWOS:000402097100001
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab NeuroInformat, Chengdu, Peoples R China
5.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing, Peoples R China
6.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Li, Hai,Fan, Lingzhong,Zhuo, Junjie,et al. ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation[J]. FRONTIERS IN NEUROINFORMATICS,2017(11):35.
APA Li, Hai.,Fan, Lingzhong.,Zhuo, Junjie.,Wang, Jiaojian.,Zhang, Yu.,...&Jiang, Tianzi.(2017).ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation.FRONTIERS IN NEUROINFORMATICS(11),35.
MLA Li, Hai,et al."ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation".FRONTIERS IN NEUROINFORMATICS .11(2017):35.
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