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Tytuł artykułu

Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) Reconstruction Algorithm Based on Characteristics of Acoustic Transducer

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A MAT-MI reconstruction algorithm was applied to general sound detection systems, and the influence of acoustic transducers on MAT-MI image reconstruction was investigated in this paper. The acoustic intensity measurement system was used to measure the acoustic field, and the data was then used to build the acoustic transducer model by a interpolation method. The model was applied to forward and inverse problems of MAT-MI based on Green’s function and discretization method. In order to verify the algorithm, a simulation was carried out using sphere scan schema and cylinder scan schema. A 3D phantom model was set up based on S-L model in CT, with the help of finite element analysis method and the distribution of the transient electromagnetic field and the eddy currentwere calculated. Simulation and reconstruction results through numerical calculation using MATLAB were obtained. Results show that the algorithm can reconstruct the distribution of acoustic source vector; the correlation coefficients are 98.49% and 94.96%, and can be applied to the general transducer. This study provided a basis for the experimental study of MAT-MI and a precise reconstruction of conductivity distribution.
Wydawca
Rocznik
Tom
1
Numer
1
Opis fizyczny
Daty
otrzymano
2015-01-15
zaakceptowano
2015-05-13
online
2015-09-08
Twórcy
autor
  • Institute of Biomedical Engineering,
    Chinese Academy of Medical Sciences & Peking Union
    Medical College, Tianjin 300192, China
autor
  • Institute of Biomedical Engineering,
    Chinese Academy of Medical Sciences & Peking Union
    Medical College, Tianjin 300192, China
autor
  • Institute of Biomedical Engineering,
    Chinese Academy of Medical Sciences & Peking Union
    Medical College, Tianjin 300192, China
Bibliografia
  • ---
  • [1] Zou Y., Guo Z., A review of electrical impedance techniques forbreast cancer detection, Medical engineering & physics, 2003,25 (2): 79-90.
  • [2] Cheney M., Isaacson D., Newell J.C., Electrical impedance tomography,SIAM review, 1999, 41 (1): 85-101.[WoS][Crossref]
  • [3] Gabriel C., Gabriel S., Corthout E., The dielectric properties ofbiological tissues: I. Literature survey, Physics in medicine andbiology, 1996, 41 (11): 2231-2249.
  • [4] Surowiec A.J., Stuchly S.S., Barr J.R. et al., Dielectric propertiesof breast carcinoma and the surrounding tissues, BiomedicalEngineering, IEEE Transactions on, 1988, 35 (4): 257-263.
  • [5] Ma Q., He B., Investigation on magnetoacoustic signal generationwith magnetic induction and its application to electricalconductivity reconstruction, Physics in medicine and biology,2007, 52 (16): 5085-5099.
  • [6] Li X., Xu Y., He B., Imaging electrical impedance from acousticmeasurements by means of magnetoacoustic tomography withmagnetic induction (MAT-MI), IEEE transactions on bio-medicalengineering, 2007, 54 (2): 323-330.[WoS]
  • [7] Li X., Xu Y., He B., Magnetoacoustic tomography with magneticinduction for imaging electrical impedance of biological tissue,Journal of applied physics, 2006, 99 (6): 066112.
  • [8] Xu Y., He B., Magnetoacoustic Tomography with MagneticStimulation(MAT-MS), International Journal of Bioelectromagnetism,2005, 7 (2): 282-283.
  • [9] Xu Y., He B.,Magnetoacoustic tomographywithmagnetic induction(MAT-MI), Physics in medicine and biology, 2005, 50 (21):5175-5187.
  • [10] Li X., Xu Y., He B., A Phantom Study of Magnetoacoustic TomographywithMagneticInduction (MAT-MI) for Imaging ElectricalImpedance of Biological Tissue, Journal of applied physics,2006, 99 (6): 066112.
  • [11] Xia R., Li X., He B., Reconstruction of vectorial acoustic sourcesin time-domain tomography, IEEE transactions on medical imaging,2009, 28 (5): 669-675.[WoS]
  • [12] Sun X., Zhang F., Ma Q. et al., Acoustic dipole radiation basedconductivity image reconstruction for magnetoacoustic tomographywith magnetic induction, Applied physics letters, 2012,100 (2): 024105.[WoS]
  • [13] Mariappan L., He B., Magnetoacoustic Tomography with MagneticInduction: Bioimepedance reconstruction through vectorsource imaging, IEEE transactions on medical imaging, 2013, 32(3): 619-627.[WoS]
  • [14] Ammari H., Mathematical Modeling in Biomedical Imaging I:Electrical and Ultrasound Tomographies, Anomaly Detection,and Brain Imaging, Springer, 2009.
  • [15] Arfken G.B., Weber H.J., Harris F.E., Mathematical Methods ForPhysicists A Comprehensive Guide, Academic press, 2013.
  • [16] Shepp L., Logan B., Reconstructing interior head tissue from Xraytransmissions, IEEE Trans Nucl Sci, 1974, 21(1): 228-36.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_1515_phto-2015-0005
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