Department of Diagnostic and Interventional Radiology, Medical Faculty Heinrich-Heine-University, Düsseldorf, Germany.
Eur J Radiol. 2011 Dec;80(3):e427-31. doi: 10.1016/j.ejrad.2011.01.006. Epub 2011 Feb 24.
To assess motion artifacts in dGEMRIC of finger joints and to evaluate the effectiveness of motion correction.
In 40 subjects (26 patients with finger arthritis and 14 healthy volunteers) dGEMRIC of metacarpophalangeal joint II was performed. Imaging used a dual flip angle approach (TE 3.72 ms, TR 15 ms, flip angles 5° and 26°). Two sets of T1 maps were calculated for dGEMRIC analysis from the imaging data for each subject: one with and one without motion correction. To compare image quality, visual grading analysis and precision of dGEMRIC measurement of both dGEMRIC maps for each case were evaluated.
Motion artifacts were present in 82% (33/40) of uncorrected dGEMRIC maps. Motion artifacts were graded as severe or as rendering evaluation impossible in 43% (17/40) of uncorrected dGEMRIC maps. Motion corrected maps showed significantly less motion artifacts (P<0.001) and were graded as evaluable in 97% (39/40) of cases. Precision was significantly higher in motion corrected images (coefficient of variation (CV=.176±.077), compared to uncorrected images (CV .445±.347) (P<.001). Motion corrected dGERMIC was different in volunteers and patients (P=.044), whereas uncorrected dGEMRIC was not (P=.234).
Motion correction improves image quality, dGEMRIC measurement precision and diagnostic performance in dGEMRIC of finger joints.
评估手指关节 dGEMRIC 中的运动伪影，并评价运动校正的效果。
对 40 例受检者（26 例手指关节炎患者和 14 例健康志愿者）的第二掌指关节进行 dGEMRIC 检查。成像采用双翻转角方法（TE3.72ms，TR15ms，翻转角 5°和 26°）。为了进行 dGEMRIC 分析，从每位受检者的成像数据中计算了两组 T1 图谱：一组有运动校正，一组无运动校正。为了比较图像质量，对两种 dGEMRIC 图谱的视觉分级分析和 dGEMRIC 测量的精确性进行了评估。
在未校正的 dGEMRIC 图谱中，82%（33/40）存在运动伪影。在未校正的 dGEMRIC 图谱中，43%（17/40）的运动伪影严重或无法进行评估。校正后的图谱显示运动伪影明显减少（P<0.001），97%（39/40）的病例可评估。校正后的图像的精确性明显更高（变异系数（CV）=0.176±0.077），与未校正的图像（CV=0.445±0.347）相比（P<.001）。校正后的 dGERMIC 在志愿者和患者中存在差异（P=.044），而未校正的 dGEMRIC 则没有（P=.234）。
运动校正可改善手指关节 dGEMRIC 中的图像质量、dGEMRIC 测量精度和诊断性能。
