On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations
This addresses safety issues in medical imaging for healthcare, highlighting risks in practical multi-coil systems, though it is incremental as it extends prior single-coil studies.
The paper investigated the vulnerability of multi-coil MRI reconstructions to small adversarial perturbations, finding that parallel imaging and compressed sensing methods exhibit significant instabilities, which raises concerns for clinical applications.
Although deep learning (DL) has received much attention in accelerated MRI, recent studies suggest small perturbations may lead to instabilities in DL-based reconstructions, leading to concern for their clinical application. However, these works focus on single-coil acquisitions, which is not practical. We investigate instabilities caused by small adversarial attacks for multi-coil acquisitions. Our results suggest that, parallel imaging and multi-coil CS exhibit considerable instabilities against small adversarial perturbations.