Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis. Issue 5 (21st November 2019)

• Record Type: Journal Article
• Authors: Chaudhari, Akshay S.; Kogan, Feliks; Pedoia, Valentina; Majumdar, Sharmila; Gold, Garry E.; Hargreaves, Brian A.
• Is Part Of: Journal of magnetic resonance imaging. Volume 52:Issue 5(2020)
• Page Start: 1321
• Page End: 1339
• Publication Date: 2019-11-21
• Subjects: rapid MRI -- compositional imaging -- quantitative MRI -- morphological imaging -- deep learning -- segmentation; Magnetic resonance imaging -- Periodicals; 616
• DOI: 10.1002/jmri.26991
• Languages: English
• ISSNs: 1053-1807

Abstract

Abstract : Osteoarthritis (OA) of the knee is a major source of disability that has no known treatment or cure. Morphological and compositional MRI is commonly used for assessing the bone and soft tissues in the knee to enhance the understanding of OA pathophysiology. However, it is challenging to extend these imaging methods and their subsequent analysis techniques to study large population cohorts due to slow and inefficient imaging acquisition and postprocessing tools. This can create a bottleneck in assessing early OA changes and evaluating the responses of novel therapeutics. The purpose of this review article is to highlight recent developments in tools for enhancing the efficiency of knee MRI methods useful to study OA. Advances in efficient MRI data acquisition and reconstruction tools for morphological and compositional imaging, efficient automated image analysis tools, and hardware improvements to further drive efficient imaging are discussed in this review. For each topic, we discuss the current challenges as well as potential future opportunities to alleviate these challenges. Level of Evidence: 5 Technical Efficacy Stage: 3