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A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI

Graham, MS; Drobnjak, I; Zhang, H; (2015) A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI. In: Ourselin, S and Alexander, D and Westin, C and Cardoso, M, (eds.) IPMI 2015: Information Processing in Medical Imaging. (pp. 638-649). Springer: Cham, Switzerland. Green open access

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Abstract

In this paper we demonstrate a simulation framework that enables the direct and quantitative comparison of post-processing methods for diffusion weighted magnetic resonance (DW-MR) images. DW-MR datasets are employed in a range of techniques that enable estimates of local microstructure and global connectivity in the brain. These techniques require full alignment of images across the dataset, but this is rarely the case. Artefacts such as eddy-current (EC) distortion and motion lead to misalignment between images, which compromise the quality of the microstructural measures obtained from them. Numerous methods and software packages exist to correct these artefacts, some of which have become de-facto standards, but none have been subject to rigorous validation. The ultimate aim of these techniques is improved image alignment, yet in the literature this is assessed using either qualitative visual measures or quantitative surrogate metrics. Here we introduce a simulation framework that allows for the direct, quantitative assessment of techniques, enabling objective comparisons of existing and future methods. DW-MR datasets are generated using a process that is based on the physics of MRI acquisition, which allows for the salient features of the images and their artefacts to be reproduced. We demonstrate the application of this framework by testing one of the most commonly used methods for EC correction, registration of DWIs to b = 0, and reveal the systematic bias this introduces into corrected datasets.

Type: Book chapter
Title: A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI
ISBN-13: 978-3-319-19991-7
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-19992-4_50
Publisher version: https://doi.org/10.1007/978-3-319-19992-4_50
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Diffusion Tensor, Eddy Current, Image Space, Simulation Framework, Diffusion Weighted Magnetic Resonance Image
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1469482
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