Diffusion MRI processing and estimation

Chantal M.W. Tax; Okan Irfanoglu; Jesper Andersson; Alexander Leemans

doi:10.1016/B978-0-12-818894-1.00006-9

Diffusion MRI processing and estimation

Chantal M.W. Tax, Okan Irfanoglu, Jesper Andersson, Alexander Leemans

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

In this chapter, we give an overview of the most common data artifacts in diffusion magnetic resonance imaging and present the typical strategies to correct for them. The main topics that are covered here include data quality assessment, signal drift, Gibbs ringing, subject motion, eddy-current distortions, echo-planar imaging deformations, noise distributions, and model estimation approaches.

Original language	English
Title of host publication	Handbook of Diffusion MR Tractography
Subtitle of host publication	Imaging Methods, Biophysical Models, Algorithms and Applications
Publisher	Elsevier
Chapter	9
Pages	151-176
Number of pages	26
ISBN (Electronic)	9780128188941
ISBN (Print)	9780128188958
DOIs	https://doi.org/10.1016/B978-0-12-818894-1.00006-9
Publication status	Published - 1 Jan 2025

Keywords

Artifacts
Eddy currents
Estimation approaches
Gibbs ringing
Processing
Quality assessment
Signal drift
Subject motion
Susceptibility-induced deformations

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10.1016/B978-0-12-818894-1.00006-9

Cite this

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KW - Eddy currents

KW - Estimation approaches

KW - Gibbs ringing

KW - Processing

KW - Quality assessment

KW - Signal drift

KW - Subject motion

KW - Susceptibility-induced deformations

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BT - Handbook of Diffusion MR Tractography

PB - Elsevier

ER -

Diffusion MRI processing and estimation

Abstract

Keywords

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