An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging
In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated into the calculations in a way that accurately reflec...
| Main Authors: | , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Academic Press
2016
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692656/ |
| id |
pubmed-4692656 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-46926562016-01-15 An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging Andersson, Jesper L.R. Sotiropoulos, Stamatios N. Article In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated into the calculations in a way that accurately reflects that the two fields (susceptibility- and EC-induced) behave differently in the presence of subject movement. The method is based on registering the individual volumes to a model free prediction of what each volume should look like, thereby enabling its use on high b-value data where the contrast is vastly different in different volumes. In addition we show that the linear EC-model commonly used is insufficient for the data used in the present paper (high spatial and angular resolution data acquired with Stejskal–Tanner gradients on a 3 T Siemens Verio, a 3 T Siemens Connectome Skyra or a 7 T Siemens Magnetome scanner) and that a higher order model performs significantly better. Academic Press 2016-01-15 /pmc/articles/PMC4692656/ /pubmed/26481672 http://dx.doi.org/10.1016/j.neuroimage.2015.10.019 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Andersson, Jesper L.R. Sotiropoulos, Stamatios N. |
| spellingShingle |
Andersson, Jesper L.R. Sotiropoulos, Stamatios N. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging |
| author_facet |
Andersson, Jesper L.R. Sotiropoulos, Stamatios N. |
| author_sort |
Andersson, Jesper L.R. |
| title |
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging |
| title_short |
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging |
| title_full |
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging |
| title_fullStr |
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging |
| title_full_unstemmed |
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging |
| title_sort |
integrated approach to correction for off-resonance effects and subject movement in diffusion mr imaging |
| description |
In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated into the calculations in a way that accurately reflects that the two fields (susceptibility- and EC-induced) behave differently in the presence of subject movement. The method is based on registering the individual volumes to a model free prediction of what each volume should look like, thereby enabling its use on high b-value data where the contrast is vastly different in different volumes. In addition we show that the linear EC-model commonly used is insufficient for the data used in the present paper (high spatial and angular resolution data acquired with Stejskal–Tanner gradients on a 3 T Siemens Verio, a 3 T Siemens Connectome Skyra or a 7 T Siemens Magnetome scanner) and that a higher order model performs significantly better. |
| publisher |
Academic Press |
| publishDate |
2016 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692656/ |
| _version_ |
1613517179376893952 |