PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

arXiv:2403.06227v1 Announce Type: cross
Abstract: Remarkable progress has been made by data-driven machine-learning methods in the analysis of MRI scans. However, most existing MRI analysis approaches are crafted for specific MR pulse sequences (MR contrasts) and usually require nearly isotropic acquisitions. This limits their applicability to diverse real-world clinical data, where scans commonly exhibit variations in appearances due to being obtained with varying sequence parameters, resolutions, and orientations -- especially in the presence of pathology. In this paper, we propose …

arxiv brain cs.cv eess.iv mri pathology type