Fig. 1.

The proposed STRESS workflow. A: Interleaved MRI acquisitions, e.g., N_I = 3. B: Acquired MR data are binned into different time frames. These frames are interpolated and transposed to produce a simulated object with motion. Then, we simulate a interleaved MR scan on this object and extract low- and high-resolution pairs from them C: We train the denoising network (optional) and super-resolution network in self-supervised manners. D: We apply the trained models to the originally or newly acquired data to generate a high-resolution MR volume series, which can be further used for other downstream tasks.