Application and Advance of Image Compression Algorithms in Medical Imaging

Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The techn...

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Vydáno v:Xiehe Yixue Zazhi Ročník 16; číslo 5; s. 1281 - 1290
Hlavní autoři: SHANG Jiawen, HUANG Peng, CHANG Zhixing, FAN Yuhan, HU Zhihui, ZHANG Ke, DAI Jianrong, YAN Hui
Médium: Journal Article
Jazyk:čínština
Vydáno: Editorial Office of Medical Journal of Peking Union Medical College Hospital 29.09.2025
Témata:
data storage
deep learning
image compression
medical imaging
telemedicine
ISSN:1674-9081
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Shrnutí:Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The technology holds broad application prospects in the medical field, enabling the processing of various imaging modalities, multidimensional imaging, and medical video imaging. This study elaborates on general image and video compression algorithms, the application of compression algorithms in the medical field, and the performance metrics of medical image compression, thereby providing critical technical support for enhancing clinical diagnostic efficiency and data management security.
ISSN:1674-9081
DOI:10.12290/xhyxzz.2024-0793