Variation regularization algorithm in electrical impedance tomography.
- Author:
Song HUANG
1
;
Wei HE
Author Information
1. The key Lab. of High-Voltage and Electrical New Technology of China Ministry of Education, Chongqing University, Chongqing 400044, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Electric Impedance;
Humans;
Tomography;
methods
- From:
Journal of Biomedical Engineering
2006;23(6):1153-1156
- CountryChina
- Language:Chinese
-
Abstract:
In this paper, a variation function has been introduced as a regularization penalty term in electrical impedance tomography (EIT) image restoration, which becomes to be the variation regularization algorithm. The key difference with Tikhonov regularization algorithm is that the variation regularization algorithm not only ensures the inverse problem well-posed but also increase the dividing line between the goal region and the background region of restored image clearer. This made the restored image in good accord with the medical image. It has significance to utilize EIT technique.
