医学
工件(错误)
磁共振成像
图像质量
成像技术
医学物理学
风险分析(工程)
计算机科学
人工智能
放射科
图像(数学)
作者
Darryl B. Sneag,Frederik Abel,Hollis G. Potter,Jan Fritz,Matthew F. Koff,Christine B. Chung,Valentina Pedoia,Ek T. Tan
出处
期刊:Radiology
[Radiological Society of North America]
日期:2023-08-01
卷期号:308 (2)
被引量:18
标识
DOI:10.1148/radiol.230531
摘要
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. © RSNA, 2023 See also the review "Musculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions" by Demehri et al in this issue.
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