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


Published in Machine Vision and Application (2017) 28:393-407


Images of the kidneys using dynamic contrast-enhanced magnetic resonance renography (DCE-MRR) con-tains 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 signi´Čücant drawbacks including inter-observer variability, and the bottleneck introduced through manual


This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 731593.