2D-3D Parametric Image Registration for MRI-Guided Cardiac Intervention

We propose a mathematical formulation aimed at parametric intensity-based registration (alignment) of a deformed 3D volume to a 2D slice.

The approach is flexible and can accommodate various regularization schemes, similarity measures, and optimizers. We evaluate the framework on 2D-3D registration experiments of in vivo cardiac magnetic resonance imaging (MRI) aimed at image-guided surgery applications that use real-time MRI as a visualization tool. An affine transformation is used in this parametric model. Target registration error, Jaccard and Dice indices are used to validate the algorithm and demonstrate the accuracy of the registration scheme on both simulated and clinical data.