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MRI 在肌肉骨骼临床和研究实践中的进展。

MRI Advancements in Musculoskeletal Clinical and Research Practice.

机构信息

From 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.).

出版信息

Radiology. 2023 Aug;308(2):e230531. doi: 10.1148/radiol.230531.

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.

摘要

在过去的几十年中,MRI 对于诊断和纵向监测肌肉骨骼疾病变得越来越重要,硬件和软件的不断改进旨在优化图像质量和速度。然而,肌肉骨骼 MRI 的需求不断增加,以及提供更个性化护理的兴趣增加,将需要更加注重效率和特异性。正在进行的硬件开发包括更强大的梯度、改进宽孔径磁体设计以保持磁场均匀性以及高通道相控阵线圈。也有兴趣使用具有固有较低磁场足迹和运营成本的低场强磁铁,以满足中低收入国家的全球需求。以前通过传统加速技术(例如并行成像或压缩感知)来缩短采集时间的方法,现在已经被深度学习重建算法大大掩盖。预计将更加重视改进合成 MRI 和 MR 指纹识别方法,以缩短整体采集时间,同时通过同时捕获微观结构信息来满足个性化护理的需求,从而提供更详细的疾病严重程度信息。作者还预计将增加对金属伪影减少技术、骨成像和 MR 神经成像的研究重点,以满足临床需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6398/10477516/29ebe7d20146/radiol.230531.VA.jpg

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