Bauer Jan S, Monetti Roberto, Krug Roland, Matsuura Maiko, Mueller Dirk, Eckstein Felix, Rummeny Ernst J, Lochmueller Eva-Maria, Raeth Christoph W, Link Thomas M
Department of Radiology, Technische Universität München, Munich, Germany.
J Magn Reson Imaging. 2009 Jan;29(1):132-40. doi: 10.1002/jmri.21625.
To investigate differences in magnetic resonance imaging (MRI) of trabecular bone at 1.5T and 3.0T and to specifically study noise effects on the visualization and quantification of trabecular architecture using conventional histomorphometric and nonlinear measures of bone structure.
Sagittal MR images of 43 calcaneus specimens (donor age: 81 +/- 10 years) were acquired at 1.5T and 3.0T using gradient echo sequences. Noise was added to obtain six sets of images with decreasing signal-to-noise ratios (SNRs). Micro-CT images were obtained from biopsies taken from 37 calcaneus samples and bone strength was determined. Morphometric and nonlinear structure parameters were calculated in all datasets.
Originally, SNR was 1.5 times higher at 3.0T. In the simulated image sets, SNR was similar at both fields. Trabecular dimensions measured by microCT were adequately estimated by MRI, with residual errors (e(r)), ranging from 16% to 2.7% at 3.0T. Comparing e(r) at similar SNR, 3.0T consistently displayed lower errors than 1.5T (eg, bone fraction at SNR approximately 4: e(r)[3.0T] = 15%; e(r)[1.5T] = 21%, P < 0.05).
The advances of 3.0T compared to 1.5T in visualizing trabecular bone structure are partially SNR-independent. The better performance at 3.0T may be explained by pronounced susceptibility, enhancing the visualization of thin trabecular structures.
研究1.5T和3.0T条件下小梁骨的磁共振成像(MRI)差异,并使用传统组织形态计量学和骨结构非线性测量方法,专门研究噪声对小梁结构可视化和量化的影响。
使用梯度回波序列在1.5T和3.0T条件下采集43个跟骨标本(供体年龄:81±10岁)的矢状面MR图像。添加噪声以获得六组信噪比(SNR)逐渐降低的图像。从37个跟骨样本活检中获取微CT图像,并测定骨强度。在所有数据集中计算形态计量学和非线性结构参数。
最初,3.0T时的SNR高出1.5倍。在模拟图像集中,两个场的SNR相似。MRI能够充分估计微CT测量的小梁尺寸,在3.0T时残余误差(e(r))范围为16%至2.7%。在相似SNR下比较e(r),3.0T始终显示出比1.5T更低的误差(例如,SNR约为4时的骨分数:e(r)[3.0T]=15%;e(r)[1.5T]=21%,P<0.05)。
3.0T在可视化小梁骨结构方面相对于1.5T的优势部分与SNR无关。3.0T表现更好可能是由于明显的敏感性,增强了细小小梁结构的可视化。