Diagnostic Accuracy of 5-Minute Knee MRI Using AI Image Quality Enhancement
Despite advances in accelerating MRI scans, diagnostic knee MRI protocols typically require upwards of 30 minutes of scanner time, which fundamentally limits patient throughput. Moreover, current MRI protocols are qualitative and cannot provide precise quantitative information pertaining to the biochemical status of the tissues being interrogated. In this work, we develop a rapid 5-minute diagnostic knee MRI method that provides comparable accuracy to the longer standard-of-care techniques. In addition, our proposed technique also provides quantitative information which assists radiologists in outperforming the standard-of-care and has high correlation with surgical findings. We demonstrate these advances through one of the first prospective studies that utilizes artificial intelligence to improve MRI image quality.
Chaudhari AS, Grissom MJ, Fang Z, Sveinsson B, Lee JH, Gold GE, Hargreaves BA, Stevens KJ. Diagnostic accuracy of quantitative multi-contrast 5-minute knee MRI using prospective artificial intelligence image quality enhancement. AJR Am J Roentgenol. 2020 Aug 5. doi: 10.2214/AJR.20.24172. Online ahead of print.
Example images and quantitative T2 maps from the rapid 5-minute diagnostic knee MRI method used in this evaluation.
