CASIA OpenIR  > 脑网络组研究中心
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
Source PublicationFRONTIERS IN NEUROINFORMATICS
2017-05-29
Issue11Pages:35
SubtypeArticle
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(https://www.nitrc.org/projects/atpp),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
DOI10.3389/fninf.2017.00035
WOS KeywordCONNECTIVITY-BASED PARCELLATION ; FUNCTIONAL CONNECTIVITY ; STRUCTURAL CONNECTIVITY ; CORTEX ; MRI ; ORGANIZATION ; ARCHITECTURE ; BRAINNETOME ; PROFILES ; PATTERNS
Indexed BySCI
Language英语
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
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15130
Collection脑网络组研究中心
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
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
2017_Frontiers in Ne(2949KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Hai]'s Articles
[Fan, Lingzhong]'s Articles
[Zhuo, Junjie]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Hai]'s Articles
[Fan, Lingzhong]'s Articles
[Zhuo, Junjie]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Hai]'s Articles
[Fan, Lingzhong]'s Articles
[Zhuo, Junjie]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2017_Frontiers in Neuroinformatics_Li et al._ATPP A Pipeline for Automatic Tractography-Based Brain Parcellation.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.