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在 7T 场强下使用读出分段 EPI 和 GRAPPA 技术进行人体弥散加权成像。

Diffusion imaging in humans at 7T using readout-segmented EPI and GRAPPA.

机构信息

Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

出版信息

Magn Reson Med. 2010 Jul;64(1):9-14. doi: 10.1002/mrm.22480.

Abstract

Anatomical MRI studies at 7T have demonstrated the ability to provide high-quality images of human tissue in vivo. However, diffusion-weighted imaging at 7T is limited by the increased level of artifact associated with standard, single-shot, echo-planar imaging, even when parallel imaging techniques such as generalized autocalibrating partially parallel acquisitions (GRAPPA) are used to reduce the effective echo spacing. Readout-segmented echo-planar imaging in conjunction with parallel imaging has the potential to reduce these artifacts by allowing a further reduction in effective echo spacing during the echo-planar imaging readout. This study demonstrates that this approach does indeed provide a substantial improvement in image quality by reducing image blurring and susceptibility-based distortions, as well as by allowing the acquisition of diffusion-weighted images with a high spatial resolution. A preliminary application of the technique to high-resolution diffusion tensor imaging provided a high level of neuroanatomical detail, which should prove valuable in a wide range of applications.

摘要

7T 下的解剖磁共振成像研究表明,它有能力提供高质量的人体组织活体图像。然而,即使使用并行成像技术(如广义自校准部分并行采集(GRAPPA))来减小有效回波间距,7T 下的扩散加权成像仍受到与标准单次激发回波平面成像相关的artifact 水平增加的限制。结合并行成像的读出分段回波平面成像有可能通过在回波平面成像读出期间进一步减小有效回波间距来减少这些artifact。本研究表明,这种方法确实通过减少图像模糊和基于磁化率的变形,以及允许高空间分辨率的扩散加权图像采集,提供了图像质量的显著改善。该技术在高分辨率扩散张量成像中的初步应用提供了高度的神经解剖细节,这在广泛的应用中应该是有价值的。

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