Diffantom: Whole-brain diffusion MRI phantoms derived from real datasets of the human connectome project

Esteban Sanz-Dranguet, Oscar and Caruyer, Emmanuel and Daducci, Alessandro and Bach-Cuadra, Meritxell and Ledesma Carbayo, Maria Jesus and Santos Lleo, Andres de (2016). Diffantom: Whole-brain diffusion MRI phantoms derived from real datasets of the human connectome project. "Frontiers in Neuroinformatics", v. 10 ; pp. 1-7. ISSN 1662-5196. https://doi.org/10.3389/fninf.2016.00004.

Description

Title: Diffantom: Whole-brain diffusion MRI phantoms derived from real datasets of the human connectome project
Author/s:
  • Esteban Sanz-Dranguet, Oscar
  • Caruyer, Emmanuel
  • Daducci, Alessandro
  • Bach-Cuadra, Meritxell
  • Ledesma Carbayo, Maria Jesus
  • Santos Lleo, Andres de
Item Type: Article
Título de Revista/Publicación: Frontiers in Neuroinformatics
Date: 2016
ISSN: 1662-5196
Volume: 10
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Diffantom is a whole-brain diffusion MRI (dMRI) phantom publicly available through the Dryad Digital Repository (doi:10.5061/dryad.4p080). The dataset contains two single-shell dMRI images, along with the corresponding gradient information, packed following the BIDS standard (Brain Imaging Data Structure, Gorgolewski et al., 2015). The released dataset is designed for the evaluation of the impact of susceptibility distortions and benchmarking existing correction methods. In this Data Report we also release the software instruments involved in generating diffantoms, so that researchers are able to generate new phantoms derived from different subjects, and apply these data in other applications like investigating diffusion sampling schemes, the assessment of dMRI processing methods, the simulation of pathologies and imaging artifacts, etc. In summary, Diffantom is intended for unit testing of novel methods, cross-comparison of established methods, and integration testing of partial or complete processing flows to extract connectivity networks from dMRI.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC-2013-48251-C2-2-RUnspecifiedUnspecifiedUnspecified
Government of SpainUnspecifiedINNPACTOUnspecifiedUnspecified
Madrid Regional GovernmentP2013/MIT-30124TOPUSUnspecifiedUnspecified

More information

Item ID: 46263
DC Identifier: http://oa.upm.es/46263/
OAI Identifier: oai:oa.upm.es:46263
DOI: 10.3389/fninf.2016.00004
Official URL: http://journal.frontiersin.org/article/10.3389/fninf.2016.00004/full
Deposited by: Memoria Investigacion
Deposited on: 05 Jun 2017 18:12
Last Modified: 21 Mar 2019 18:06
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