Veronika Spieker

Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

This work proposes a multi-dimensional, primitive based framework for dynamic contrast-enhanced MRI reconstruction that disentangles the underlying anatomy, the dynamic contrast enhancement, and residual motion into separate temporal basis functions, thereby enabling a geometrical interpretation of the representation.