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The method of increasing the information content of microfocus X-ray images

https://doi.org/10.32362/2500-316x-2021-9-6-57-63

Abstract

A method for processing microfocus X-ray images is described. It is based on high-frequency filtration and morphological image processing, which increases the contrast of the X-ray details. One of the most informative X-ray techniques is microfocus X-ray. In some cases, microfocus X-ray images cannot be reliably analyzed due to the peculiarities of the shooting method. So, the main disadvantages of microfocus X-ray images are most often an uneven background, distorted brightness characteristics and the presence of noise. The proposed method for enhancing the contrast of fine image details is based on the idea of combining high-frequency filtering and morphological image processing. The method consists of the following steps: noise suppression in the image, high-frequency filtering, morphological image processing, obtaining the resulting image. As a result of applying the method, the brightness of the contours in the image is enhanced. In the resulting image, all objects will have double outlines. The method was tested in the processing of 50 chest radiographs of patients with various pathologies. Radiographs were performed at the Mariinsky Hospital of St. Petersburg using digital stationary and mobile X-ray machines. In most of the radiographs, it was possible to improve the images contrast, to highlight the objects boundaries. Besides, the method was applied in microfocus X-ray tomography to improve the information content of projection data and improve the reconstruction of the 3D image of the research object. In both the first and second cases, the method showed satisfactory results. The developed method makes it possible to significantly increase the information content of microfocus X-ray images. The obtained practical results make it possible to count on broad prospects for the method application, especially in microfocus X-ray.

About the Authors

N. E. Staroverov
Saint Petersburg Electrotechnical University “LETI”
Russian Federation

Nikolay E. Staroverov, Post-graduate Student

5, ul. Professora Popova, St. Petersburg, 197376 Russia

Scopus Author ID: 57193738290



A. Y. Gryaznov
Saint Petersburg Electrotechnical University “LETI”
Russian Federation

Artem Y. Gryaznov, Dr. Sci. (Eng.), Professor

5, ul. Professora Popova, St. Petersburg, 197376 Russia

Scopus Author ID 12142307400



I. G. Kamyshanskaya
St. Petersburg State University; City Mariinsky Hospital, Saint Petersburg
Russian Federation

Irina G. Kamyshanskaya, Cand. Sci. (Med.), Associate Professor; Radiologist of the X-ray Department

7/9, Universitetskaya nab., St. Petersburg, 199034 Russia

56, Liteiny pr., St. Petersburg, 191014 Russia

Scopus Author ID 15834578000



N. N. Potrakhov
Saint Petersburg Electrotechnical University “LETI”
Russian Federation

Nikolay N. Potrakhov, Dr. Sci. (Eng.), Professor, Head of Department

5, ul. Professora Popova, St. Petersburg, 197376 Russia

Scopus Author ID 8689381700



E. D. Kholopova
Saint Petersburg Electrotechnical University “LETI”
Russian Federation

Ekaterina D. Kholopova, Post-graduate Student

5, ul. Professora Popova, St. Petersburg, 197376 Russia

Scopus Author ID 57193737033



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Supplementary files

1. Chest X-rays after processing
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Type Исследовательские инструменты
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A method for processing microfocus X-ray images is described. It is based on high-frequency filtration and morphological image processing, which increases the contrast of the X-ray details. The method consists of the following steps: noise suppression in the image, high-frequency filtering, morphological image processing, obtaining the resulting image. In the resulting image, all objects have double outlines. The method was tested in the processing of 50 chest radiographs of patients with various pathologies.

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For citations:


Staroverov N.E., Gryaznov A.Y., Kamyshanskaya I.G., Potrakhov N.N., Kholopova E.D. The method of increasing the information content of microfocus X-ray images. Russian Technological Journal. 2021;9(6):57-63. https://doi.org/10.32362/2500-316x-2021-9-6-57-63

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ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)