Comparative Study of Noise Reduction in MRI Images Using Filtering and Wavelet Transform in Medical Image Processing

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shahalinejad Sahand; Bahadori Atefeh; NIAPOUR ALI

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Journal Paper

Paper Information

Journal: Alborz University Medical Journal Year:2023 | Volume:12 | Issue:1 Page(s): 60-68

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Information Journal Paper

Title

Comparative Study of Noise Reduction in MRI Images Using Filtering and Wavelet Transform in Medical Image Processing

Author(s)

shahalinejad Sahand | Bahadori Atefeh | NIAPOUR ALI | Issue Writer Certificate

Keywords

Noise reduction

MRI images

Filtering

Wavelet transform

Medical image processing

Abstract

Background and Aim: Noise reduction in medical images is important. Excessive distortion in medical images reduces the accuracy of diagnosis of various diseases or structures. Violet conversion and Filtering are among the most widely used methods for reducing noise in medical images. The aim of this study was to compare Noise reduction using filtration (low-pass, mid-pass, and high-pass filters) as well as violet conversion from MRI images. Methods: In this study, using MATLAB software, noisy MRI data were entered into the program environment and each of the proposed algorithms including Filtering (low-pass, mid-pass, and high-pass filters) as well as violet conversion were implemented separately on images. And the ideal output was obtained due to the nature of the noise. Results: The results obtained from the proposed violet and Filtering methods were compared and analyzed. The signal-to-noise ratio (SNR) of all filters used and the violet conversion displayed a value above 30 dB. Violet conversion for selected images has a higher SNR value, and in some images, this difference is more than 40 dB. According to the images and relative PSNR values, among all the studied methods, the best dehumidification is when the CWT method was used. In this case, the PSNR is high and there is the most similarity between the degenerate image and the original image.

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References

Deep learning and its applications to machine health monitoring

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APA: Copy

shahalinejad, Sahand, Bahadori, Atefeh, & NIAPOUR, ALI. (2023). Comparative Study of Noise Reduction in MRI Images Using Filtering and Wavelet Transform in Medical Image Processing. ALBORZ UNIVERSITY MEDICAL JOURNAL, 12(1 ), 60-68. SID. https://sid.ir/paper/1018767/en

Vancouver: Copy

shahalinejad Sahand, Bahadori Atefeh, NIAPOUR ALI. Comparative Study of Noise Reduction in MRI Images Using Filtering and Wavelet Transform in Medical Image Processing. ALBORZ UNIVERSITY MEDICAL JOURNAL[Internet]. 2023;12(1 ):60-68. Available from: https://sid.ir/paper/1018767/en

IEEE: Copy

Sahand shahalinejad, Atefeh Bahadori, and ALI NIAPOUR, “Comparative Study of Noise Reduction in MRI Images Using Filtering and Wavelet Transform in Medical Image Processing,” ALBORZ UNIVERSITY MEDICAL JOURNAL, vol. 12, no. 1 , pp. 60–68, 2023, [Online]. Available: https://sid.ir/paper/1018767/en

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