The noise reduction of medical radiography images using fractional moments

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Gholizadeh Mahdieh; GHOLIZADEH MOHAMMAD HOSSEIN; GHAYOUMI ZADEH HOSSEIN; DANAEIAN MOSTAFA

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Paper Information

Journal: MEDICAL JOURNAL OF TABRIZ UNIVERSITY OF MEDICAL SCIENCES Year:2021 | Volume:42 | Issue:6 Page(s): 649-658

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Title

The noise reduction of medical radiography images using fractional moments

Author(s)

Gholizadeh Mahdieh | GHOLIZADEH MOHAMMAD HOSSEIN | GHAYOUMI ZADEH HOSSEIN | DANAEIAN MOSTAFA | Issue Writer Certificate

Keywords

Radiography ImagesQ1

De-NoisingQ1

Moment MethodQ1

Fractional MomentsQ1

Abstract

Background: This paper presents a method to improve medical Radiography Images based on the use of statistical signal moments. Methods: In this paper, the image with noise is considered as a statistical signal, and the noise reduction is performed by using Fractional Moments. The fractional moment’ s method, on the one hand, has a speed similar to the Moment Method, and, on the other hand, has not the limitations of the Moment Method, which sometimes achieves inaccurate results. The proposed method is ultimately examined on radiographic images (CT). Results: The information obtained from the Fractional Moments of the received signal is a criterion to estimate the noise parameters and the gray scales of the main image. One of the limitations of the proposed method is that the image should be sent several times, because in statistical discussions, we cannot make a decision with only one sample. The error of the proposed noise reduction method in terms of the number of times the original image was sent, is about 0. 009, 0. 0009, 0. 0002, and 0. 0001, for n = 3, n = 6, n = 9 and n = 14, respectively. Conclusion: The simulation results show that the proposed method is more effective than the most conventional noise reduction methods, both in the low signal to noise ratio and in terms of image quality, and is more powerful than the most notable noise removal methods in restoring the subtleties and image details.

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APA: Copy

Gholizadeh, Mahdieh, GHOLIZADEH, MOHAMMAD HOSSEIN, GHAYOUMI ZADEH, HOSSEIN, & DANAEIAN, MOSTAFA. (2021). The noise reduction of medical radiography images using fractional moments. MEDICAL JOURNAL OF TABRIZ UNIVERSITY OF MEDICAL SCIENCES, 42(6 ), 649-658. SID. https://sid.ir/paper/408914/en

Vancouver: Copy

Gholizadeh Mahdieh, GHOLIZADEH MOHAMMAD HOSSEIN, GHAYOUMI ZADEH HOSSEIN, DANAEIAN MOSTAFA. The noise reduction of medical radiography images using fractional moments. MEDICAL JOURNAL OF TABRIZ UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2021;42(6 ):649-658. Available from: https://sid.ir/paper/408914/en

IEEE: Copy

Mahdieh Gholizadeh, MOHAMMAD HOSSEIN GHOLIZADEH, HOSSEIN GHAYOUMI ZADEH, and MOSTAFA DANAEIAN, “The noise reduction of medical radiography images using fractional moments,” MEDICAL JOURNAL OF TABRIZ UNIVERSITY OF MEDICAL SCIENCES, vol. 42, no. 6 , pp. 649–658, 2021, [Online]. Available: https://sid.ir/paper/408914/en

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