Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.

G. Girard; J. Rafael-Patiño; R. Truffet; D.B. Aydogan; N. Adluru; V.A. Nair; V. Prabhakaran; B.B. Bendlin; A.L. Alexander; S. Bosticardo; I. Gabusi; M. Ocampo-Pineda; M. Battocchio; Z. Piskorova; P. Bontempi; S. Schiavi; A. Daducci; A. Stafiej; D. Ciupek; F. Bogusz; T. Pieciak; M. Frigo; S. Sedlar; S. Deslauriers-Gauthier; I. Kojčić; M. Zucchelli; H. Laghrissi; Y. Ji; R. Deriche; K.G. Schilling; B.A. Landman; A. Cacciola; G.A. Basile; S. Bertino; N. Newlin; P. Kanakaraj; F. Rheault; P. Filipiak; T.M. Shepherd; Y.C. Lin; D.G. Placantonakis; F.E. Boada; S.H. Baete; E. Hernández-Gutiérrez; A. Ramírez-Manzanares; R. Coronado-Leija; P. Stack-Sánchez; L. Concha; M. Descoteaux; S. Mansour L; C. Seguin; A. Zalesky; K. Marshall; E.J. Canales-Rodríguez; Y. Wu; S. Ahmad; P.T. Yap; A. Théberge; F. Gagnon; F. Massi; E. Fischi-Gomez; R. Gardier; JLV Haro; M. Pizzolato; E. Caruyer; J.P. Thiran

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.

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Auteurs

Date

15 août 2023

Discipline

Economies et finances

Type de document

Articles

Périmètre

Publications

Langue

Anglais

Identifiants

doi: 10.1016/j.neuroimage.2023.120231
issn: 1053-8119

Source

Serveur académique Lausannois

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Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2023.120231

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/37330025

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1095-9572

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_0DA8560F41CB3

Collection

Serveur Académique Lausannois

Organisation

Université de Lausanne et CHUV

Licences

info:eu-repo/semantics/openAccess , CC BY 4.0 , https://creativecommons.org/licenses/by/4.0/

Mots-clés 0

Humans; Image Processing, Computer-Assisted/methods; Diffusion Magnetic Resonance Imaging/methods; Brain/diagnostic imaging; Monte Carlo Method; Phantoms, Imaging; Challenge; Connectivity; Diffusion MRI; Microstructure; Monte carlo simulation; Numerical substrates; Tractography

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G. Girard et al., « Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. », Serveur académique Lausannois, ID : 10.1016/j.neuroimage.2023.120231

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Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCAI-CDMRI Diffusion-Simulated Connectivity (DiSCo) challenge was carried out to evaluate state-of-the-art connectivity methods using novel large-scale numerical phantoms. The diffusion signal for the phantoms was obtained from Monte Carlo simulations. The results of the challenge suggest that methods selected by the 14 teams participating in the challenge can provide high correlations between estimated and ground-truth connectivity weights, in complex numerical environments. Additionally, the methods used by the participating teams were able to accurately identify the binary connectivity of the numerical dataset. However, specific false positive and false negative connections were consistently estimated across all methods. Although the challenge dataset doesn't capture the complexity of a real brain, it provided unique data with known macrostructure and microstructure ground-truth properties to facilitate the development of connectivity estimation methods.

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Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.

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