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首页> 外文期刊>Journal of magnetic resonance >In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound
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In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound

机译:体内磁共振成像和光谱学。 技术的进步和申请的机会继续比比皆是

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Over the past decades, the field of in vivo magnetic resonance (MR) has built up an impressive repertoire of data acquisition and analysis technologies for anatomical, functional, physiological, and molecular imaging, the description of which requires many book volumes. As such it is impossible for a few authors to have an authoritative overview of the field and for a brief article to be inclusive. We will therefore focus mainly on data acquisition and attempt to give some insight into the principles underlying current advanced methods in the field and the potential for further innovation. In our view, the foreseeable future is expected to show continued rapid progress, for instance in imaging of microscopic tissue properties in vivo, assessment of functional and anatomical connectivity, higher resolution physiologic and metabolic imaging, and even imaging of receptor binding. In addition, acquisition speed and information content will continue to increase due to the continuous development of approaches for parallel imaging (including simultaneous multi-slice imaging), compressed sensing, and MRI fingerprinting. Finally, artificial intelligence approaches are becoming more realistic and will have a tremendous effect on both acquisition and analysis strategies. Together, these developments will continue to provide opportunity for scientific discovery and, in combination with large data sets from other fields such as genomics, allow the ultimate realization of precision medicine in the clinic. (C) 2019 Elsevier Inc. All rights reserved.
机译:在过去几十年中,体内磁共振(MR)的领域已经建立了一种令人印象深刻的数据采集和分析技术,用于解剖,功能,生理和分子成像,其描述需要许多书籍量。因此,一些作者不可能有一个特权概述该领域,并为简短的文章包容。因此,我们将主要关注数据收购,并试图对本地当前先进方法的原则有所了解以及进一步创新的潜力。在我们看来,预计可预见的未来将显示持续快速进展,例如在体内显微镜组织特性的成像,对功能性和解剖学的评估,较高的分辨率生理和代谢成像,甚至对受体结合的成像。此外,由于平行成像(包括同时多切片成像),压缩检测和MRI指纹识别的方法的连续开发,收购速度和信息内容将继续增加。最后,人工智能方法变得更加现实,对两种收购和分析策略产生巨大影响。这些发展在一起,这些发展将继续为科学发现提供机会,并且与其他领域的大数据集合,如基因组学,允许在临床中实现精密药物的最终实现。 (c)2019 Elsevier Inc.保留所有权利。

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