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Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI
Guanxiong Luo, Shoujin Huang, Martin Uecker
Magnetic resonance imaging (MRI) is a widely used non-invasive imaging modality. However, a persistent challenge lies in balancing image quality with imaging speed. This trade-off…
Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress
Martin Schilling, Christina Unterberg-Buchwald, Joachim Lotz +1
In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been developed and analyzed. However, nearly all of them are focused on cine CMR under…
Generative Priors for MRI Reconstruction Trained from Magnitude-Only Images Using Phase Augmentation
Guanxiong Luo, Xiaoqing Wang, Mortiz Blumenthal +5
Purpose: In this work, we present a workflow to construct generic and robust generative image priors from magnitude-only images. The priors can then be used for regularization in r…
CG-SENSE revisited: Results from the first ISMRM reproducibility challenge
Oliver Maier, Steven H. Baete, Alexander Fyrdahl +11
Purpose: The aim of this work is to shed light on the issue of reproducibility in MR image reconstruction in the context of a challenge. Participants had to recreate the results of…