Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York, USA.
Magn Reson Med. 2012 Sep;68(3):874-81. doi: 10.1002/mrm.23289. Epub 2011 Dec 2.
Contrast optimization of a three-dimensional (3D) Fluid-attenuated inversion recovery (FLAIR) sequence is examined in the context of multiple sclerosis. In order to develop 3D FLAIR for enhanced detection of lesions, an iterative approach based on theoretical considerations was used. The 3D FLAIR sequence was systematically acquired with incremental parameter changes on a single subject with multiple sclerosis in a 3-T MRI scanner. Region of interest analysis was performed on the images, and the best estimate of the optimal acquisition parameters was established. This process was iterated on subsequent patients with multiple sclerosis until only marginal gains in quality were obtained. Three-dimensional FLAIR for enhanced detection produced increased lesion detection and identification in the supratentorial and infratentorial regions when compared with default GE 3D FLAIR and two-dimensional FLAIR sequences. Lesion border delineation was enhanced as evidenced by better lesion and white matter contrast ratios, demonstrating that the approach is a viable method for improved lesion detection.
针对多发性硬化症，研究了三维（3D）液体衰减反转恢复（FLAIR）序列的对比优化。为了开发用于增强病变检测的 3D FLAIR，我们使用基于理论考虑的迭代方法。在 3T MRI 扫描仪上对一位多发性硬化症患者进行了系统的 3D FLAIR 序列采集，并逐步改变参数。对图像进行了感兴趣区域分析，并确定了最佳采集参数的最佳估计值。然后对后续的多发性硬化症患者进行了此过程的迭代，直到获得边际收益为止。与常规 GE 3D FLAIR 和二维 FLAIR 序列相比，用于增强检测的 3D FLAIR 可提高幕上和幕下区域的病变检测和识别能力。病变边界的勾画得到了改善，这表明病变与白质的对比比值更好，证明该方法是一种用于提高病变检测的可行方法。
