Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs

김재일; 김성준; 김영재; 김광기; 박진아

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자료유형: 학술저널

저자정보: 김재일 김성준 김영재 김광기 박진아

저널정보: 대한의료정보학회 Healthcare Informatics Research Healthcare Informatics Research 제19권 제3호

발행연도: 2013.1

수록면: 196 - 204 (9page)

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Objectives: This paper proposes a measurement method to quantify the abnormal characteristics of the broken parts of ribs using local texture and shape features in chest radiographs. Methods: Our measurement method comprises two steps: a measurement area assignment and sampling step using a spline curve and sampling lines orthogonal to the spline curve, and a fracture-ness measurement step with three measures, asymmetry and gray-level co-occurrence matrix based measures (contrast and homogeneity). They were designed to quantify the regional shape and texture features of ribs along the centerline. The discriminating ability of our method was evaluated through region of interest (ROI) analysis and rib fracture classification test using support vector machine. Results: The statistically significant difference was found between the measured values from fracture and normal ROIs; asymmetry (p < 0.0001), contrast (p < 0.001), and homogeneity (p = 0.022). The rib fracture classifier, trained with the measured values in ROI analysis, detected every rib fracture from chest radiographs used for ROI analysis, but it also classified some unbroken parts of ribs as abnormal parts (8 to 17 line sets; length of each line set, 2.998 ± 2.652 mm; length of centerlines, 131.067 ± 29.460 mm). Conclusions: Our measurement method, which includes a flexible measurement technique for the curved shape of ribs and the proposed shape and texture measures, could discriminate the suspicious regions of ribs for possible rib fractures in chest radiographs.

#Rib Fractures #Radiography #Computer-Aided Radiographic Image Interpretation #Image Processing #Decision Support Techniques

참고문헌 (15)

참고문헌 신청

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