Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis

Esteban Sanz-Dranguet, Oscar and Daducci, Alessandro and Caruyer, Emmanuel and O'Brien, Kieran and Ledesma Carbayo, María Jesús and Bach-Cuadra, Meritxell and Santos Lleo, Andrés (2014). Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis. In: "2013 11th IEEE International Symposium on Biomedical Imaging (ISBI)", April 29 - May 2, 2014, Beijing (China).

Description

Title: Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis
Author/s:
  • Esteban Sanz-Dranguet, Oscar
  • Daducci, Alessandro
  • Caruyer, Emmanuel
  • O'Brien, Kieran
  • Ledesma Carbayo, María Jesús
  • Bach-Cuadra, Meritxell
  • Santos Lleo, Andrés
Item Type: Presentation at Congress or Conference (Poster)
Event Title: 2013 11th IEEE International Symposium on Biomedical Imaging (ISBI)
Event Dates: April 29 - May 2, 2014
Event Location: Beijing (China)
Title of Book: IEEE International Symposium on Biomedical Imaging (ISBI)
Date: 2014
Subjects:
Freetext Keywords: susceptibility artifacts, diffusion MRI, tractography, connectivity
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - Non commercial - Share

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Abstract

Connectivity analysis on diffusion MRI data of the whole-brain suffers from distortions caused by the standard echo-planar imaging acquisition strategies. These images show characteristic geometrical deformations and signal destruction that are an important drawback limiting the success of tractography algorithms. Several retrospective correction techniques are readily available. In this work, we use a digital phantom designed for the evaluation of connectivity pipelines. We subject the phantom to a “theoretically correct” and plausible deformation that resembles the artifact under investigation. We correct data back, with three standard methodologies (namely fieldmap-based, reversed encoding-based, and registration- based). Finally, we rank the methods based on their geometrical accuracy, the dropout compensation, and their impact on the resulting connectivity matrices.

More information

Item ID: 23237
DC Identifier: http://oa.upm.es/23237/
OAI Identifier: oai:oa.upm.es:23237
Deposited by: Oscar Esteban
Deposited on: 07 Apr 2014 11:51
Last Modified: 21 Apr 2016 22:14
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