MEDICAL IMAGE RESTORATION METHOD BASED ON NEIGHBORHOOD REGISTRATION AND ITS APPLICATION

In this paper, due to factors such as imaging devices and imaging environment, medical images may experience halos, blurring, and unclear contrast. A medical image restoration method based on neighborhood registration is proposed to address this issue. In this repair method, the image is first processed into blocks, then the blocks that need to be repaired are determined. Afterward, based on the surrounding neighborhood information of the image block to be repaired, the image information within the optimal neighborhood block is repaired and replaced. The experimental results show that the repair method based on the best neighborhood registration has completed medical image restoration, with significantly higher repair quality than the reference method. The repaired image results have a high RSNR.

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Publication Details

Journal
Journal of Mechanics in Medicine and Biology
Published
2024-09-27
DOI
https://doi.org/10.1142/s021951942440075x
Primary Topic
Advanced Image Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

MEDICAL IMAGE RESTORATION METHOD BASED ON NEIGHBORHOOD REGISTRATION AND ITS APPLICATION

Yaxiong You, xinpeng shi, C. Li, Yanlong Yang et al.
1 links
Journal of Mechanics in Medicine and Biology
Advanced Image Processing Techniques
article

MEDICAL IMAGE RESTORATION METHOD BASED ON NEIGHBORHOOD REGISTRATION AND ITS APPLICATION

Yaxiong You, xinpeng shi, C. Li, Yanlong Yang, Rui Wang, Liu Zhe
article en

Abstract

In this paper, due to factors such as imaging devices and imaging environment, medical images may experience halos, blurring, and unclear contrast. A medical image restoration method based on neighborhood registration is proposed to address this issue. In this repair method, the image is first processed into blocks, then the blocks that need to be repaired are determined. Afterward, based on the surrounding neighborhood information of the image block to be repaired, the image information within the optimal neighborhood block is repaired and replaced. The experimental results show that the repair method based on the best neighborhood registration has completed medical image restoration, with significantly higher repair quality than the reference method. The repaired image results have a high RSNR.

Journal of Mechanics in Medicine and BiologyVol. 24(09)
China Southern Power Grid (China) (CN)
Sustainable cities and communities
Openalex Percentile: Top 84%
Advanced Image Processing Techniques
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