A computer analysis method for correlating knee X-rays with continuous indicators.

Abstract:

PURPOSE:To develop an image analysis method that can automatically find correlations between a set of plain radiographs and continuous clinical or physiological indicators. METHODS: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. RESULTS: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. CONCLUSIONS: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.

authors

Shamir L

doi

10.1007/s11548-011-0550-z

subject

Has Abstract

pub_date

2011-09-01 00:00:00

pages

699-704

issue

5

eissn

1861-6410

issn

1861-6429

journal_volume

6

pub_type

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