An ℓ1 norm reconstruction algorithm which has the merits of reducing the sensitivity to data outliers and avoiding edge blurring is applied in this paper to solve a 3- D EIT problem. The iterative imaging method allows flexible choice of norms by simply choosing different norm value. A cluster analysis is implemented for labelling targets using the morphology technique.

Additional Metadata
Publisher International Steering Committee on Electrical Impedance Tomography
Series 15th International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT 2014)
Citation
Pu, Yang, Wang, Qifan, & Dai, Tao. (2014). 3-D Electrical Impedance Tomography Reconstruction Using ℓ1 Norms Regularization. In 15th International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT 2014). International Steering Committee on Electrical Impedance Tomography.