On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations
Abstract
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.
- Publication:
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arXiv e-prints
- Pub Date:
- February 2021
- DOI:
- 10.48550/arXiv.2102.13066
- arXiv:
- arXiv:2102.13066
- Bibcode:
- 2021arXiv210213066Z
- Keywords:
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- Electrical Engineering and Systems Science - Image and Video Processing;
- Computer Science - Computer Vision and Pattern Recognition;
- Computer Science - Machine Learning;
- Electrical Engineering and Systems Science - Signal Processing;
- Physics - Medical Physics
- E-Print:
- To appear in Proceedings of the 29th Annual Meeting of ISMRM, 2021