Deep Learning-Based MR Image Re-parameterization

arXiv:2206.05516v2 Announce Type: replace-cross
Abstract: Magnetic resonance (MR) image re-parameterization refers to the process of generating via simulations of an MR image with a new set of MRI scanning parameters. Different parameter values generate distinct contrast between different tissues, helping identify pathologic tissue. Typically, more than one scan is required for diagnosis; however, acquiring repeated scans can be costly, time-consuming, and difficult for patients. Thus, using MR image re-parameterization to predict and estimate the contrast in these imaging scans can …

abstract arxiv contrast cs.cv deep learning diagnosis eess.iv generate however identify image mri parameters process set simulations type values via