Time-resolved cardiac imaging and motion analysis using a multi-scale dynamics decomposition

In this work we present a time-resolved (ungated, free-breathing) dynamic cardiac MRI method which disentangles and jointly estimates motion-fields and time-varying contrast images. Different sources of intensity variations are represented with L+S decompositions and motion-fields, that can naturally provide the information required for downstream tasks such as perfusion (contrast dynamics) and myocardial strain analysis (tissue dynamics). Results indicate the feasibility of disentangling the different sources of temporal intensity variations such as respiratory motion or contrast enhancement. Moreover, no breath holds nor ECG triggering/sorting are required since the time-resolved framework can simultaneously resolve the many overlapping dynamics from a continuous data-stream.