文章基本信息

标题：Accuracy on Bovine Bone Fracture Detection of Two Dimensional B-Mode Ultrasound Images using Polynomial - Intensity Gradient
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作者：Rika Rokhana ; Eko Mulyanto Yuniarno ; I Ketut Eddy Purnama 等
期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2019
卷号：46
期号：2
页码：217-227
出版社：IAENG - International Association of Engineers
摘要：The detection of bone fracture uses X-rays or CT-scans device typically. These instruments have a negative effect of radiation and need high security for both patients and medical technicians. In this paper, we proposed a framework using the high–order polynomial approach and intensity gradient of two – dimensional B – mode ultrasound images for bone fracture detection. According to the ultrasound probe position, bone scanning process produce curved and flat contour surface. The local phase symmetry and morphology operation is used to extract the bone surface feature from the speckles and other noise. Then, a high order polynomial equation is used to obtain the center mass in the bone area. Two methods, Polynomial Tangent Perpendicular Line (PTPL) and Axis Perpendicular Line method are applied to determine the intensity gradient between adjacent columns based on the center of the mass bone area. These methods are tested to the bovine bone with no – fracture bone, and bone with transverse, oblique and comminuted fractures. Both PTPL and APL methods had 100% accuracy in the detection of fracture occurrence. For estimation width of fracture, the PTPL was more accurate than APL method. In the curved contour bone surface, the PTPL method has 1.14% error with the mean absolute error (MAE) of 0.016 mm. While the APL method has 2.63% error with the MAE of 0.04 mm. Meanwhile, in the flat contour bone surface, the PTPL method has 2.41% error with the MAE of 0.03 mm while the APL method has 3.21% error with the MAE of 0.04 mm.
关键词：bone fracture detection; intensity gradient; polynomial center of mass line; B ; mode ultrasound image