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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한의용생체공학회 Biomedical Engineering Letters (BMEL) Biomedical Engineering Letters (BMEL) Vol.5 No.3
- 발행연도
- 2015.1
- 수록면
- 221 - 228 (8page)
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Purpose The aim of this paper is to investigate the imagereconstruction problem by using expectation maximization(EM) algorithm to enhance the quality of magnetic inductiontomography (MIT). Methods The EM algorithm is used to solve the imagereconstruction problem. It is based on the maximum likelihoodcriterion, and the voltage data and the sensitivity matrix areconsidered as the incomplete-data. Within the incompletedataframework of the EM algorithm, the image reconstructioncan be converted to the problem of EM through the likelihoodfunction. Results Simulation experiments are conducted and showthat the proposed method has better quality of image than theTikhonov regulation method and iteration Newton-Raphson(INR) algorithm have. Conclusions From the experimental results and comparativestudies, we can infer the scheme applied in MIT can improvethe quality of image.
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참고문헌 (19)
참고문헌 신청
Soleimani M / 2005 / Image and shape reconstruction methods in magnetic induction and electrical impedance tomography
Korjenevsky A / 2000 / Magnetic induction tomography : experimental realization / Physiol Meas 21(1):89~94
Yang WQ / 1999 / An image reconstruction algorithm based on Landweber’s iteration method for electrical capacitance tomography / Meas Sci Technol 10(11):1065~1069
Zolgharni M / 2009 / Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling / Physiol Meas 30(6):S187~S200
Soleimani M / 2009 / Simultaneous reconstruction of permeability and conductivity in magnetic induction tomography / J Electromagnet Wave 23(5-6):785~798
Korjenevsky A / 2000 / Magnetic induction tomography : experimental realization / Physiol Meas 21(1):89~94
Yang WQ / 1999 / An image reconstruction algorithm based on Landweber’s iteration method for electrical capacitance tomography / Meas Sci Technol 10(11):1065~1069
Zolgharni M / 2009 / Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling / Physiol Meas 30(6):S187~S200
Soleimani M / 2009 / Simultaneous reconstruction of permeability and conductivity in magnetic induction tomography / J Electromagnet Wave 23(5-6):785~798
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