DocumentCode :
2194082
Title :
Noninvasive Bioimpedance Imaging by Means of Current Reconstruction Magnetic Resonance Electrical Impedance Tomography
Author :
Gao, Nuo ; He, Bin
Author_Institution :
Minnesota Univ., Minneapolis
fYear :
2007
fDate :
12-14 Oct. 2007
Firstpage :
353
Lastpage :
354
Abstract :
We have developed a novel magnetic resonance electrical impedance tomography (MREIT) algorithm -current density reconstruction MREIT algorithm - for noninvasive imaging of electrical impedance distribution of a biological system. The newly proposed algorithm uses the inverse of Biot-Savart law to reconstruct the current density distribution from one component of magnetic flux density, and then uses a modified J-substitution algorithm to reconstruct the conductivity images. Computer simulations were conducted to evaluate the performance of the proposed MREIT algorithm for breast cancer imaging. The simulation results are highly promising and suggest the proposed approach may become a useful method for noninvasive impedance imaging.
Keywords :
biological organs; biomedical MRI; cancer; electric impedance imaging; gynaecology; image reconstruction; medical image processing; Biot-Savart law; J-substitution algorithm; MREIT; breast cancer imaging; current reconstruction; electrical impedance distribution; magnetic flux density; magnetic resonance electrical impedance tomography; noninvasive bioimpedance imaging; Bioimpedance; Biological systems; Conductivity; Current density; Image reconstruction; Impedance; Magnetic flux density; Magnetic resonance; Magnetic resonance imaging; Tomography; MREIT; breast cancer; conductivity; current density;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007. Joint Meeting of the 6th International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-0949-5
Electronic_ISBN :
978-1-4244-0949-5
Type :
conf
DOI :
10.1109/NFSI-ICFBI.2007.4387773
Filename :
4387773
Link To Document :
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