NeuroImage· 2015Q1
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging
- 3,826citations
- Q1SCImago
- 2015year
Short summary
A new method retrospectively corrects for distortions caused by eddy currents and subject movement in diffusion MRI, improving data quality by registering volumes to a model-free prediction.
AI-generated from the title and abstract; the full text is not read.
Key points
- Retrospective correction for eddy currents and subject movement in diffusion MRI.
- Method incorporates susceptibility-induced fields and uses model-free prediction for registration.
- Higher-order eddy current models show superior performance over linear models for high-resolution data.
- The approach is already adopted by major research projects like the UK Biobank and WU-UMinn HCP.
AI-generated from the title and abstract; the full text is not read.
Abstract
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 3T Siemens Verio, a 3T Siemens Connectome Skyra or a 7T Siemens Magnetome scanner) and that a higher order model performs significantly better. The method is already in extensive practical use and is used by four major projects (the WU-UMinn HCP, the MGH HCP, the UK Biobank and the Whitehall studies) to correct for distortions and subject movement.
The authors' abstract, as published at the source. NeuroImage, 2015 · DOI ↗
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Field: Radiology, Nuclear Medicine and Imaging
Radiology, Nuclear Medicine and ImagingMedicine