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Updated: Jul 19, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
MRI Advancements in Musculoskeletal Clinical and Research Practice
Darryl B Sneag1, Frederik Abel1, Hollis G Potter1
1From the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).
Abstract:
Over the past decades, MRI has become increasingly important for diagnosing and longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software improvements aiming to optimize image quality and speed. However, surging demand for musculoskeletal MRI and increased interest to provide more personalized care will necessitate a stronger emphasis on efficiency and specificity. Ongoing hardware developments include more powerful gradients, improvements in wide-bore magnet designs to maintain field homogeneity, and high-channel phased-array coils. There is also interest in low-field-strength magnets with inherently lower magnetic footprints and operational costs to accommodate global demand in middle- and low-income countries. Previous approaches to decrease acquisition times by means of conventional acceleration techniques (eg, parallel imaging or compressed sensing) are now largely overshadowed by deep learning reconstruction algorithms. It is expected that greater emphasis will be placed on improving synthetic MRI and MR fingerprinting approaches to shorten overall acquisition times while also addressing the demand of personalized care by simultaneously capturing microstructural information to provide greater detail of disease severity. Authors also anticipate increased research emphasis on metal artifact reduction techniques, bone imaging, and MR neurography to meet clinical needs.
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