title: [Image reconstruction of conductivity on magnetoacoustic tomography with magnetic induction].
abstract: The electric characteristics such as impedance and conductivity of the organization will change in the case where pathological changes occurred in the biological tissue. The change in electric characteristics usually took place before the change in the density of tissues, and also, the difference in electric characteristics such as conductivity between normal tissue and pathological tissue is obvious. The method of magneto-acoustic tomography with magnetic induction is based on the theory of magnetic eddy current induction, the principle of vibration generation and acoustic transmission to get the boundary of the pathological tissue. The pathological change could be inspected by electricity characteristic imaging which is invasive to the tissue. In this study, a two-layer concentric spherical model is established to simulate the malignant tumor tissue surrounded by normal tissue mutual relations of the magneto-sound coupling effect and the coupling equations in the magnetic field are used to get the algorithms for reconstructing the conductivity. Simulation study is conducted to test the proposed model and validate the performance of the reconstructed algorithms. The result indicates that the use of signal processing method in this paper can image the conductivity boundaries of the sample in the scanning cross section. The computer simulating results validate the feasibility of applying the method of magneto-acoustic tomography with magnetic induction for malignant tumor imaging.
authors.affiliation: Institute of Biomedical Engineering, Peking Union Medical College & Chinese Academic of Medical Sciences, Tianjin 300192, China.
authors.forename: Jingyu
authors.initials: J
authors.lastname: Li
authors.forename: Tao
authors.initials: T
authors.lastname: Yin
authors.forename: Zhipeng
authors.initials: Z
authors.lastname: Liu
authors.forename: Guohui
authors.initials: G
authors.lastname: Xu
mesh_terms: D000162:Acoustics; D000465:Algorithms; D016880:Anisotropy; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000379:methods; D004553:Electric Conductivity; D017097:Electric Impedance; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008280:Magnetics; D009369:Neoplasms / Q000175:diagnosis; D010992:Plethysmography, Impedance / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014054:Tomography / Q000379:methods*