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

15Citations
Citations of this article
25Readers
Mendeley users who have this article in their library.

This article is free to access.

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 DCE-MRI 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.

Cite

CITATION STYLE

APA

Tirunagari, S., Poh, N., Wells, K., Bober, M., Gorden, I., & Windridge, D. (2017). Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. Machine Vision and Applications, 28(3–4), 393–407. https://doi.org/10.1007/s00138-017-0835-5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free