Abstract
Introduction: Application of automated analysis currently occupies a leading position in every field of science and technology. The aim of our study was to provide a complex automatic determination of morphological parameters for bone tissue in human paranasal sinuses. Materials and Methods: The study involved 50 patients aged 20 to 60, male and female without signs of inflammatory or other pathological processes in the paranasal sinuses (PNSs). Results: Bone density in a high-contrast image of the section can be determined by fluctuations in colour intensity. Before cleaning, the image is blurred using the Gaussian function. As a result of this operation, the images become less clear and small details merge. An algorithm known as the Connie Border Detector has found widespread use. The curves denoting the contours can run vertically, horizontally or diagonally at different angles. Detection of the direction of curves passing vertically and horizontally is not complicated, and for curves of the diagonal direction, the Sobel operator is used, with the vertical direction Gy and horizontal Gx as the value of the first derivative. Selection of areas of bone tissue requires the assessment of brightness gradient along the long side of the area. For clarity, this operation was shown graphically. Conclusion: Within the scope of this work, we have developed a method for an automatic comprehensive assessment of the morphological structure of the PNSs walls with the measurement of bone density and thickness.
Highlights
Application of automated analysis currently occupies a leading position in every field of science and technology
The widespread introduction of computed tomography in almost all branches of medicine has a positive effect on the accuracy of diagnosis of a number of diseases, but significantly increases the burden on medical staff
Taking into account all of the above, the aim of our study was to develop a comprehensive method for automatic assessment of the morphological structure of the paranasal sinuses (PNSs)’s walls, their thickness and density
Summary
Application of automated analysis currently occupies a leading position in every field of science and technology. The Open Bioinformatics Journal, 2021, Volume 14 131 human body, draw conclusions about the presence or absence of abnormal changes, and describe in detail their localization and nature. It can even be employed in the examination of medical staff [2]. Interpretation of SCT scans requires significant time and effort from physicians In this regard, there is a need to develop a basic algorithm to automate this process. There is a study [5] describing segmentation of images obtained in patients with prostate cancer, for which an algorithm was developed to automatically determine the presence of foci of metastatic nature throughout the human body
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