Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition

Tirunagari, Santosh, Poh, Norman, Wells, Kevin, Bober, Miroslaw, Gorden, Isky and Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 (2017) Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. Machine Vision and Applications, 28 (3-4). pp. 393-407. ISSN 0932-8092 (doi:10.1007/s00138-017-0835-5)

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Abstract

Images of the kidneys using dynamic contrast enhanced magnetic resonance renography (DCE-MRR) contains unwanted complex organ motion due to respiration. This gives rise to motion artefacts that hinder the clinical assessment of kidney function. However, due to the rapid change in contrast agent within the DCE-MR image sequence, commonly used intensity-based image registration techniques are likely to fail. While semi-automated approaches involving human experts are a possible alternative, they pose significant drawbacks including inter-observer variability, and the bottleneck introduced through manual inspection of the multiplicity of images produced during a DCE-MRR study. To address this issue, we present a novel automated, registration-free movement correction approach based on windowed and reconstruction variants of dynamic mode decomposition (WR-DMD). Our proposed method is validated on ten different healthy volunteers’ kidney DCEMRI data sets. The results, using block-matching-block evaluation on the image sequence produced by WR-DMD, show the elimination of 99% of mean motion magnitude when compared to the original data sets, thereby demonstrating the viability of automatic movement correction using WR-DMD.

Item Type: Article
Keywords (uncontrolled): DMD · W-DMD · R-DMD · WR-DMD · DCE-MRI · Movement correction
Research Areas: A. > School of Science and Technology > Computer Science > Foundations of Computing group
Item ID: 22092
Notes on copyright: © The Author(s) 2017. This article is an open access publication. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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Depositing User: David Windridge
Date Deposited: 19 Jun 2017 15:14
Last Modified: 04 Apr 2019 05:14
URI: https://eprints.mdx.ac.uk/id/eprint/22092

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