Dynamic Mode Decomposition enables low-latency high temporal resolution reconstruction for golden-angle spiral real-time MRI

Motivation: Real-time MRI methods with higher spatiotemporal resolution employ undersampled non-Cartesian trajectories combined with a computationally intense reconstruction to mitigate aliasing. However, often, a low-latency, coarse-temporal resolution, low-quality reconstruction is provided online. This may hinder the scan quality in interventional and fetal imaging. Goal(s): To develop a low-latency, high-temporal resolution online reconstruction for real-time MRI. Approach: We introduce a novel method using Dynamic Mode Decomposition for low-latency, high-temporal resolution reconstruction that removes spiral aliasing. The online version is achieved by predicting and removing aliasing artifacts in upcoming frames. Results: We evaluate DMD Filtering in the context of real-time adult and fetal cardiac function assessment. Impact: The proposed technique, Dynamic Mode Decomposition filtering, achieves low-latency (<20ms/frame), high-temporal resolution reconstruction with negligible spiral aliasing artifact, and no iterations. This may be valuable for online reconstruction during interventional and fetal cardiac imaging.