Reconstruction algorithm in electrical impedance tomography based on deep learning
10.19745/j.1003-8868.2024079
- VernacularTitle:基于深度学习的电阻抗断层成像图像重建算法研究综述
- Author:
Li-Yuan ZHANG
1
;
Lei LI
;
Xue-Chao LIU
;
Feng FU
;
Li JIN
;
Bin YANG
Author Information
1. 空军军医大学军事生物医学工程学系,西安 710032;西安交通大学软件学院,西安 710049
- Keywords:
deep learning;
electrical impedance tomography;
image reconstruction;
image reconstruction algorithm
- From:
Chinese Medical Equipment Journal
2024;45(4):98-103
- CountryChina
- Language:Chinese
-
Abstract:
The limitations of traditional image reconstruction algorithms of electrical impedance tomography(EIT)and the advantages of deep learning in nonlinear image reconstruction were introduced.The research progress of three EIT image reconstruction algorithms based on deep learning was summarized,including direct reconstruction method,indirect recon-struction method and implicit reconstruction method.The deficiencies of EIT image reconstruction algorithms based on deep learning were analyzed,and it's pointed out that EIT image reconstruction algorithms based on deep learning should realize further technical breakthroughs in increasing the quality of datasets,enhancing the image interpretability and improving the imaging resolving power.[Chinese Medical Equipment Journal,2024,45(4):98-103]
