Emerging veterinary MRI technologies designed to reduce scan time and image artifacts

Can AI halve your MRI scan times without sacrificing image quality? In this Hallmarq Fall Series webinar, Steve Roberts, PhD, Chief Technical Advisor for MRI at Hallmarq Veterinary Imaging, takes us inside the technologies changing veterinary MRI. See how iNav motion correction rescues images from patients who move, and how deep learning tools are cutting scan times in dogs and standing horses: PAICE removes image noise, and SNAP fills in k-space data that was only partly acquired. Steve also explains k-space in plain terms and explores quantitative T2 mapping and synthetic MRI, and what they could mean for your caseload. Essential viewing for anyone who performs, interprets or refers MRI cases.