Faster scans can decrease motion artifacts and reduce the need for repeat scans. iQMR, an AI-assisted solution, produces MR images at significantly faster scan times while maintaining image quality, thus facilitating enhanced clinical workflow and better productivity.
Lawrence N. Tanenbaum, MD, FACR, Vice President and Medical Director, RadNet Inc
The overall image quality, diagnostic utility, artifact appearance and GW-matter differentiation of the short protocols were equal and sometimes better than those of routine protocols when processed and enhanced with iQMR, a machine-learning based algorithm
Blake Johnson, M.D., F.A.C.R, Medical Director and Director of Neuroimaging at the Center for Diagnostic Imaging, Minneapolis, MN.
Our clinical studies demonstrate that iQMR, a machine learning-based technology, allow the use of short MRI protocols whilst keeping equivalent diagnostic value, thus enhancing overall productivity
Roni Shreter, MD, Director of Imaging Institute Hillel Yaffe Medical Center, Israel.