Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network

Abstract

The proposed deep learning-based approach for three-dimensional cardiac motion estimation allowed the derivation of a motion model that balances motion characterization and image registration accuracy and achieved motion estimation accuracy comparable to or better than that of several state-of-the-art image registration algorithms.© RSNA, 2019<i>Supplemental material is available for this article.</i>