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引用次数: 0

摘要

组织纵向(T1)和横向(T2)松弛时间所提供的图像对比度是现代MRI成功的核心。在这里,一种最近提出的“线性代数建模光谱”(SLAM)方法被应用于3特斯拉的幻象、6名志愿者的腹部和6名脑肿瘤患者的松弛时间成像。SLAM通过省略高达15/16(94%)的反演恢复和多回波自旋回波序列追溯获得的数据来验证,并主动应用于将人体腹部和脑肿瘤T1和T2测量速度提高16倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Ultrafast compartmental relaxation time mapping with linear algebraic modeling.

Image contrast afforded by tissue longitudinal (T1) and transverse (T2) relaxation times is central to the success of modern MRI. Here, a recently-proposed 'spectroscopy with linear algebraic modeling' (SLAM) method is adapted to dramatically accelerate relaxation time imaging at 3 Tesla in phantoms, the abdomens of six volunteers and in six brain tumor patients.. SLAM is validated by omitting up to 15/16ths (94%) of the data acquired retroactively from inversion recovery and multi-echo spin-echo sequences, and proactively applied to accelerate abdominal and brain tumor T1 and T2 measurements by up to 16-fold in humans..

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