Wilkie Joel R, Giger Maryellen L, Chinander Michael R, Vokes Tamara J, Li Hui, Dixon Larry, Jaros Vit
Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA.
Med Phys. 2004 Apr;31(4):882-91. doi: 10.1118/1.1650529.
Osteoporosis is a disease that results in an increased risk of bone fracture due to a loss of bone mass and deterioration of bone structure. Bone mineral density (BMD) provides a measure of bone mass and is frequently measured by bone densitometry systems to diagnose osteoporosis. In addition, computerized radiographic texture analysis (RTA) is currently being investigated as a measure of bone structure and as an additional diagnostic predictor of osteoporosis. In this study, we assessed the ability of a peripheral bone densitometry (PD) system to yield images useful for RTA. The benefit of such a system is that it measures BMD by dual-energy x-ray absorptiometry and therefore provides high- and low-energy digital radiographic images. The bone densitometry system investigated was the GE/Lunar PIXI, which provides 512 x 512 digital images of the heel or forearm (0.2 mm pixels). We compared texture features of heel images obtained with this PD system to those obtained on a Fuji computed radiography (CR) system (0.1 mm pixels). Fourier and fractal-based texture features of images from 24 subjects who had both CR and BMD exams were calculated, and correlation between the two systems was analyzed. Fourier-based texture features characterize the magnitude, frequency content, and orientation of the trabecular bone pattern. Good correlation was found between the two modalities for the first moment (FMP) with r=0.71 (p value<0.0001) and for minimum FMP with r=0.52 (p value=0.008). Root-mean-square (RMS) did not correlate with r=0.31 (p value>0.05), while the standard deviation of the RMS did correlate with r=0.79 (p value<0.0001). Good correlation was also found between the two modalities for the fractal-based texture features with r=0.79 (p value<0.0001) for the global Minkowski dimension and r=0.63 (p value=0.0007) for the fractal dimension from a box counting method. The PD system therefore may have the potential for yielding heel images suitable for RTA.
骨质疏松症是一种由于骨量丢失和骨结构破坏而导致骨折风险增加的疾病。骨密度(BMD)可衡量骨量,并且经常通过骨密度测定系统来测量,以诊断骨质疏松症。此外,计算机化的放射图像纹理分析(RTA)目前正在作为一种衡量骨结构的方法以及骨质疏松症的额外诊断预测指标进行研究。在本研究中,我们评估了一种外周骨密度(PD)系统生成对RTA有用图像的能力。这种系统的优点是它通过双能X线吸收法测量骨密度,因此可提供高能和低能数字放射图像。所研究的骨密度测定系统是GE/Lunar PIXI,它可提供足跟或前臂的512×512数字图像(像素为0.2毫米)。我们将使用该PD系统获得的足跟图像的纹理特征与在富士计算机放射成像(CR)系统(像素为0.1毫米)上获得的纹理特征进行了比较。计算了24名同时进行了CR和BMD检查的受试者图像的基于傅里叶和分形的纹理特征,并分析了两个系统之间的相关性。基于傅里叶的纹理特征可表征小梁骨模式的大小、频率含量和方向。发现两种模式在一阶矩(FMP)方面具有良好的相关性,r = 0.71(p值<0.0001),在最小FMP方面r = 0.52(p值 = 0.008)。均方根(RMS)与r = 0.31不相关(p值>0.05),而RMS的标准差与r = 0.79相关(p值<0.0001)。对于基于分形的纹理特征,两种模式之间也发现了良好的相关性,全局闵可夫斯基维数的r = 0.79(p值<0.0001),盒计数法分形维数的r = 0.63(p值 = 0.0007)。因此,PD系统可能有潜力生成适合RTA的足跟图像。