TEXTURE ANALYSIS OF X-RAY IMAGES FOR DETECTION OF CHANGES IN BONE MASS AND STRUCTURE
Andrzej Materka, P. Cichy, J. Tuliszkiewicz · Series in machine perception and artificial intelligence · 2000
An attempt is made to apply digital image analysis techniques to the evaluation of bone mass and internal structure, based on X-ray images. Images of distal forearm bone are investigated. A calibration phantom is included in the image to equalize the image intensity. Both raw and equalized images are analyzed and results are compared. A number of first-order texture parameters and fractal dimensions are evaluated. These texture-derived image features are correlated with the bone mineral density estimated by means of dual-photon absorptiometry (DXA), a standard diagnostic technique. The effect of image blur and noise on texture parameters is investigated as well, showing significant influence of image distortion on fractal features, and thus indicating the need for image preprocessing before texture analysis.