Title :
Convergence analysis for modified conjugate gradient in electromagnetic tomography
Author :
Li, Liu ; Shao, Fuqun
Author_Institution :
Coll. of Phys. Sci. & Technol., Shenyang Normal Univ., Shenyang, China
Abstract :
Methods and development of electromagnetic tomography (EMT) are introduced. Based on conjugate gradient algorithm, modified conjugate gradient algorithm for EMT is proposed, which improves quality of reconstructed image and convergence speed efficiently. The convergence is analyzed. The Conclusions is that the modified conjugate gradient algorithm is superior to the others in terms of image error, correlation coefficient, and convergence for image reconstruction, and its convergence is much better than conjugate gradient algorithm.
Keywords :
conjugate gradient methods; convergence of numerical methods; electromagnetic fields; image reconstruction; tomography; EMT; convergence analysis; electromagnetic tomography; image correlation; image error; image quality; image reconstruction; modified conjugate gradient algorithm; Algorithm design and analysis; Convergence; Electromagnetics; Image reconstruction; Instruments; Magnetic resonance imaging; Tomography; conjugate gradient; convergence; electromagnetic tomography; image reconstruction;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777210
