Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition
Article
Tirunagari, S., Poh, N., Wells, K., Bober, M., Gorden, I. and Windridge, D. 2017. Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. Machine Vision and Applications. 28 (3-4), pp. 393-407. https://doi.org/10.1007/s00138-017-0835-5
Type | Article |
---|---|
Title | Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition |
Authors | Tirunagari, S., Poh, N., Wells, K., Bober, M., Gorden, I. and Windridge, D. |
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. |
Keywords | DMD; W-DMD; R-DMD; WR-DMD; DCE-MRI; Movement correction |
Research Group | Foundations of Computing group |
Publisher | Springer |
Journal | Machine Vision and Applications |
ISSN | 0932-8092 |
Electronic | 1432-1769 |
Publication dates | |
Online | 06 Apr 2017 |
01 May 2017 | |
Publication process dates | |
Deposited | 19 Jun 2017 |
Accepted | 14 Mar 2017 |
Output status | Published |
Publisher's version | License |
Copyright Statement | © The Author(s) 2017. This article is an open access publication. |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00138-017-0835-5 |
Scopus EID | 2-s2.0-85017178452 |
Language | English |
https://repository.mdx.ac.uk/item/870v1
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