Application of reduced-encoding imaging with generalized-series reconstruction (RIGR) in dynamic MR imaging
Application of reduced-encoding imaging with generalized-series reconstruction (RIGR) in dynamic MR imaging
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DOI：
10.1002/jmri.1880060512
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发表时间：
1996-09-01
期刊：
影响因子：
--
通讯作者：
Lauterbur, PC
中科院分区：
文献类型：
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作者：
Chandra, S;Liang, ZP;Lauterbur, PC
动态MRI已被证明是研究动物和人类短暂生理变化的重要工具。这种测量的高灵敏度和时间分辨率对于准确估计动态信息至关重要。快速成像通常涉及昂贵的硬件，已发展用于这种情况。我们在这里证明了加速数据采集计划的可能性，在传统的机器上使用标准脉冲序列的动态研究。这是通过经由新颖的约束图像重建算法将简化编码的动态数据（通常为30至40个相位编码）与先验高分辨率数据相结合来实现的。这种方法显著地减少了图像采集时间（在这里描述的示例中减少了3至4倍），而不损失信息的准确性。
Dynamic MRI has proven to be an important tool in studies of transient physiologic changes in animals and humans, High sensitivity and temporal resolution in such measurements are critical for accurate estimation of dynamic information, Fast imaging, often involving expensive hardware, has evolved for use in such cases. We demonstrate herein the possibility of accelerated data acquisition schemes on conventional machines using standard pulse sequences for dynamic studies. This is achieved by combining reduced-encoded dynamic data (typically 30 to 40 phase encodings) with a priori high-resolution data via a novel constrained image reconstruction algorithm, Such an approach reduces image acquisition time significantly (by a factor of 3 to 4 in the examples described here) without loss in the accuracy of information.