Title :
A novel combination method of electrical impedance tomography inverse problem for brain imaging
Author :
Li, Ying ; Rao, Liyun ; He, Renjie ; Xu, Guizhi ; Wu, Qing ; Yan, Weili ; Dong, Guoya ; Yang, Qingxin
Author_Institution :
Key Lab. of Electromagn. Field & Electr. Apparatus Reliability of Hebei Province, Hebei Univ. of Technol., Tianjin, China
fDate :
5/1/2005 12:00:00 AM
Abstract :
A novel method combined differential evolution algorithm and modified Newton-Raphson method is proposed in this paper to solve the electrical impedance tomography (EIT) inverse problem. This method is applied to the two-dimensional impedance reconstruction of brain section based on a four-layer concentric circle model and real head geometric model. Our simulations demonstrate that the novel combination method is robust and time saving in obtaining high-quality reconstruction in EIT problems for brain imaging studied in this paper.
Keywords :
Newton-Raphson method; brain models; computerised tomography; electric impedance imaging; image reconstruction; inverse problems; brain imaging; combination method; concentric circle model; differential evolution algorithm; electrical impedance tomography; head geometric model; impedance reconstruction; inverse problem; modified Newton-Raphson method; Biomedical imaging; Brain modeling; Conductivity; Head; Helium; Image reconstruction; Inverse problems; Solid modeling; Surface impedance; Tomography; DE–MNR combination; differential evolution (DE) algorithm; electrical impedance tomography (EIT) inverse problem; modified Newton–Raphson (MNR) method;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2005.846506
