COMPUTER ANALYSIS OF 2D ULTRASONIC IMAGINGS OF HIP DYSPLASIA AND MEASUREMENT OF ITS GEOMETRY

Abstract

A review of automated medical image analysis systems for the treatment of hip dysplasia is made. It is shown that the development of computer-aided automation tools for the analysis of ultrasound images and the diagnosis of hip dysplasia is an urgent task. For computer analysis, the base of ultrasound images of the hip joint was selected, for which the diagnosis of dysplasia behind the Graph was done visually manually and automated using computer tools. We analyzed the main types of hip dysplasia behind the Count for computer diagnostics of 2D ultrasound images. It was shown that in ultrasound images the geometric parameters of the hip joint, measured visually by hand, are characteristic of various types of dysplasia. To evaluate the geometric parameters of the hip joint on the images, the NI Vision Assistant package was used as a tool. Algorithms for computer diagnostics of 2d ultrasound images of hip dysplasia have been developed using the operation of determining the centers of circles in a binary image, and using the Find Straight Edge contour extraction algorithm. Algorithm steps using image processing operations in the NI Vision Assistant package are shown. The effectiveness of the Find Straight Edge algorithm has been demonstrated in highlighting the contour of the image edge of the ilium and cartilage of the acetabulum of the hip joint. Information of boundary points found along all lines of search lines in the search area of ​​image elements of the hip joint is shown with parameters STR, TNR, SNR. The operation of automated measurement of α - angle is demonstrated in detail. It was shown in experiments that the algorithm using the Find Straight Edge contour extraction algorithm more accurately measures the α-angle and, accordingly, diagnoses hip dysplasia with higher reliability.