Elucidating Structure and Function In Vivo With Hybrid Fluorescence and Magnetic Resonance Imaging

Niedre M.; Ntziachristos V.

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Elucidating Structure and Function In Vivo With Hybrid Fluorescence and Magnetic Resonance Imaging

机译：通过混合荧光和磁共振成像阐明体内结构和功能

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While the mathematics, physics, and technology behind magnetic resonance (MR) and fluorescence image formation are distinctively different, the two modalities have significant complementary features to impart strong preclinical and clinical application synergies. Traditionally, hybrid MR and fluorescence imaging implied the use of a system where optical and MR signals can be concurrently acquired. In this case, the common geometry allows for the superposition of fluorescence images of cellular and subcellular processes onto anatomical and functional MR images. More recently, a different hybrid imaging paradigm is strongly evolving by utilizing hybrid MR-fluorescence nanoparticles. This approach offers a second paradigm of hybrid visualization where the common underlying contrast enables the coregistration of MR and fluorescence images acquired under different geometries. We review herein progress with the evolving field of multimodality MR and fluorescence imaging and discuss how these strategies offer a highly promising outlook in established and in novel preclinical and clinical applications.

机译：尽管磁共振（MR）和荧光图像形成背后的数学，物理和技术明显不同，但这两种方式具有显着的互补性，从而赋予了强大的临床前和临床应用协同作用。传统上，混合MR和荧光成像意味着使用可以同时获取光学和MR信号的系统。在这种情况下，共同的几何形状允许将细胞和亚细胞过程的荧光图像叠加到解剖和功能MR图像上。最近，通过利用杂化MR-荧光纳米颗粒，强烈发展了不同的杂化成像范例。这种方法提供了混合可视化的第二种范式，其中常见的底层对比使在不同几何结构下采集的MR和荧光图像具有一致性。我们在这里回顾了多模态MR和荧光成像的发展领域的进展，并讨论了这些策略如何在已建立的以及新颖的临床前和临床应用中提供高度有前途的前景。

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《Proceedings of the IEEE》 |2008年第3期|p.382-396|共15页
作者
Niedre M.; Ntziachristos V.;
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作者单位

Harvard Med. Sch., Charlestown;

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原文格式 PDF
正文语种 eng
中图分类一般性问题;无线电电子学、电信技术;
关键词
Dual modality; fluorescence; imaging; magnetic resonance imaging (MRI); optical;

机译：双模态;荧光;成像;磁共振成像（MRI）;光学;

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Elucidating Structure and Function In Vivo With Hybrid Fluorescence and Magnetic Resonance Imaging

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