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Automatic Detection Method of the Region of Interest in the Measurement of Bone Mineral Density by Ultrasound Imaging  

신정식 (부산대학교 지능기계공학과 대학원)
안중환 (부산대학교 지능기계공학과 대학원)
한은옥 (이화여자대학교 보건의료교육과)
김형준 (경희대학교 동서의학대학원)
한승무 (경희대학교 동서의학대학원)
Publication Information
Journal of the Korean Society for Precision Engineering / v.21, no.11, 2004 , pp. 200-208 More about this Journal
Abstract
In ultrasonic bone densitometry, the positioning of measurement site is decisive in precision and reproducibility. In this study, automatic Region of Interest (ROI) detection algorithm is suggested and adopted the method using the local minimum value by ultrasonic image. The preprocess before the local minimum method extracts out the bone area and calculates the geometrical information of bone. The developed ROI detection algorithm was applied to the clinical test for the subject of 305 female patients in the range of 22-88 years old. As the results, the accuracy of the algorithm was shown to be 98.3％. It was also found that bone density parameter was significantly correlated with age(r=0.85, p<0.0001).
Keywords
Ultrasound Imaging; Region of Interest; Bone Mineral Density;
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