Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network.
Manuel A MoralesDavid Izquierdo-GarciaIman AganjJayashree Kalpathy-CramerBruce R RosenCiprian CatanaPublished in: Radiology. Artificial intelligence (2019)
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, 2019Supplemental material is available for this article.