Rapid Cardiac MR Using Highly Accelerated Deep-Learning Reconstructed Cine

Explore cutting-edge deep learning solutions for efficient cardiac MR imaging in this 12-minute video presentation by Dr. Frandics P. Chan, Professor of Radiology at Stanford University. Delve into the innovative technique of highly accelerated deep-learning reconstructed cine for rapid cardiac MR, learning how this advanced approach can revolutionize cardiac imaging workflows and improve patient care. Gain insights into the latest developments in MR technology and understand how deep learning algorithms are enhancing image reconstruction and acquisition speed in cardiac magnetic resonance imaging.

Rapid Cardiac MR Using Highly Accelerated Deep-Learning Reconstructed Cine