Vokurka E A, Watson N A, Watson Y, Thacker N A, Jackson A
Division of Imaging Science and Biomedical Engineering, Department of Medicine, University of Manchester, Manchester, UK.
J Magn Reson Imaging. 2001 Nov;14(5):540-6. doi: 10.1002/jmri.1217.
This study examined the effects of a recently developed automated intensity non-uniformity correction on surface coil images using the orbit as an exemplar. Images were obtained using a standard head coil and a range of surface coils. Slices through the optic nerve head and cavernous sinus were subjected to the correction algorithm. Blind forced-choice rankings of the subjective image quality were performed. Quantitative measurements were taken of the similarity between vitreous humor at two depths from the coil, and of the conspicuity between orbital fat and temporalis muscle intensities. The combined qualitative ranks for corrected surface coil images were higher than for the equivalent uncorrected images in all cases. Intensity non-uniformity correction produced statistically significant improvements in orbital surface coil images, bringing their intensity uniformity in homogeneous tissue to the level of head coil images. The subjective quality of the corrected surface coil images was superior to head coil images, due to increased spatial resolution combined with improved signal to noise ratio across the image.
本研究以眼眶为例,考察了最近开发的自动强度非均匀性校正对表面线圈图像的影响。使用标准头部线圈和一系列表面线圈获取图像。通过视神经乳头和海绵窦的切片接受校正算法处理。对主观图像质量进行盲法强制选择排名。对距线圈两个深度处的玻璃体液之间的相似性以及眼眶脂肪和颞肌强度之间的显著度进行了定量测量。在所有情况下,校正后的表面线圈图像的综合定性排名均高于等效的未校正图像。强度非均匀性校正使眼眶表面线圈图像有了统计学上的显著改善,使其在均匀组织中的强度均匀性达到了头部线圈图像的水平。校正后的表面线圈图像的主观质量优于头部线圈图像,这是因为图像的空间分辨率提高,同时信噪比也得到了改善。