Junshen Xu1 and Elfar Adalsteinsson1
1Massachusetts Institute of Technology, Cambridge, MA, United States
1Massachusetts Institute of Technology, Cambridge, MA, United States
We propose a self-supervised deep learning framework for cardiac MRI denoising, where we explore
similarity of image content at different time frames and utilize the fact that noises of different observations are
independent and following similar noise model.
Figure 2. Overview of the proposed
self-supervised denoising framework.
Figure 1. Visualization
of data model for cardiac MRI denoising.
