WSEAS Transactions on Biology and Biomedicine
Print ISSN: 1109-9518, E-ISSN: 2224-2902
Volume 10, 2013
The Prominence of Local Contrast Enhancement Transformation Approach in Osteoporotic Evaluation
Authors: , , ,
Abstract: A computerized analysis of trabecular features was used to gauge the quality of bone from plain radiographs. The novel approach paved the way for detecting osteoporosis by BMD measurement, particularly in the regions, where DXA can’t be accessible. The initial diagnosis of osteoporosis helps in improving the life span of an individual to a great extent. The digital hip radiographs, being analyzed in the framework of trabecular boundness help in figuring out osteoporotic disorder. The aim of the study was to evaluate the capableness of local contrast enhancement transform (LCET) approach, by the extraction of trabecular features from plain radiographs. The sample consisted of 102 pre- and post- menopausal women (50.2 ± 14.2 years), for whom, the right femoral BMD and standard femoral radiographs were acquired. Two regions of interests (ROIs) were cropped from neck region and computerized image analysis was applied to obtain structure related trabecular parameters. Multiple linear regression analysis which is based on trabecular boundness consisted of both ROIs was performed. The trabecular features extracted by the LCET approach displayed considerable significance at the level of p<0.001 with femoral- neck and Ward BMD in both the ROIs. Also, the LCET approach, justified to be superior by 14% with respect to that of the conventional gradient analysis, by displaying trabecular boundness value of area under curve (AUC) of 0.959 (95% CI 0.914 – 1.004). Our findings suggest that the proposed LCET approach could serve as an accessory, in the regions, were DXA cannot be affordable.
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Keywords: Osteoporosis, hip radiograph, trabecular boundness, bone micro architecture, femur neck, texture analysis, LCET, gradient approach