Lawrence Technological University, 21000 W Ten Mile Rd., Southfield, MI 48075, USA.
Int J Comput Assist Radiol Surg. 2011 Sep;6(5):699-704. doi: 10.1007/s11548-011-0550-z. Epub 2011 Mar 4.
To develop an image analysis method that can automatically find correlations between a set of plain radiographs and continuous clinical or physiological indicators.
Knee X-rays taken from the Baltimore Longitudinal Study of Aging are used in this study. The computer analysis method is based on the WND-CHARM image feature set filtered by using the Pearson correlation of each feature with the continuous variable, and the estimated value is determined by a weighted nearest neighbor interpolation.
Experimental results using 300 radiographs show that the proposed method can correlate knee X-rays with physiological indicators such as sex, age, height, weight, and BMI. For instance, the Pearson correlation between the X-ray images and the height and weight were 0.59 and 0.62, respectively.
Using computer analysis, X-ray images can be correlated to continuous physiological variables that might not have a direct and straightforward link to the visual content of the radiograph. This approach of radiology image analysis can be used in population studies for detecting biomarkers and also in genome-wide association studies for studying the link between genes and anatomy.
开发一种图像分析方法，能够自动找到一组普通 X 光片与连续临床或生理指标之间的相关性。
本研究使用了来自巴尔的摩纵向衰老研究的膝关节 X 光片。计算机分析方法基于 WND-CHARM 图像特征集，该特征集通过每个特征与连续变量的 Pearson 相关进行过滤，并通过加权最近邻插值确定估计值。
使用 300 张 X 光片进行的实验结果表明，该方法可以将膝关节 X 光片与生理指标（如性别、年龄、身高、体重和 BMI）相关联。例如，X 射线图像与身高和体重的 Pearson 相关系数分别为 0.59 和 0.62。
使用计算机分析，可以将 X 射线图像与可能与射线照片的视觉内容没有直接和直接联系的连续生理变量相关联。这种放射学图像分析方法可用于人群研究中检测生物标志物，也可用于全基因组关联研究中研究基因与解剖结构之间的联系。
