- VernacularTitle:图像压缩算法在医学影像中的应用及进展
- Author:
Jiawen SHANG
1
;
Peng HUANG
1
;
Zhixing CHANG
1
;
Yuhan FAN
1
;
Zhihui HU
1
;
Ke ZHANG
1
;
Jianrong DAI
1
;
Hui YAN
1
Author Information
- Publication Type:Review
- Keywords: medical imaging; image compression; data storage; telemedicine; deep learning
- From: Medical Journal of Peking Union Medical College Hospital 2025;16(5):1281-1290
- CountryChina
- Language:Chinese
-
Abstract:
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.

