A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging

Objectives: The aim of this study was to determine the feasibility and performance of a deep learning system used to create synthetic artificial intelligence based fat-suppressed magnetic resonance imaging (AFSMRI) scans of the knee.  View/Download

This article, and specifically a different article each month from the current issue, is made available courtesy of Lippincott Williams & Wilkins, the publisher of Investigative Radiology – for both viewing on the web and download, with the restriction that this is for personal use only. Additional information can be found at www.investigativeradiology.com