Induced current magnetic resonance-electrical impedance tomography

被引:25
|
作者
Özparlak, L [1 ]
Ider, YZ [1 ]
机构
[1] Bilkent Univ, Dept Elect & Elect Engn, TR-06533 Ankara, Turkey
关键词
electrical impedance tomography (EIT); MR-EIT; current density imaging (CDI); induced current MR-EIT;
D O I
10.1088/0967-3334/26/2/027
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Magnetic resonance-electrical impedance tomography (MR-EIT) is a conductivity imaging method based on injecting currents into the object. In this study, a new MR-EIT method, whereby currents are induced inside the object by using external coils, is proposed. This new method is called induced current magnetic resonance-electrical impedance tomography. In induced current MR-EIT surface electrodes are not used and thereby artifacts due to electrodes are eliminated. The reconstruction algorithm is based on the measurement of only one component of the secondary magnetic flux density. The algorithm is an iterative one, is 3D and is based on the solution of a linear matrix equation at each iteration. For the measurement of secondary magnetic flux density, a pulse sequence to be used in the MRI system is proposed. Numerical simulations are performed to test the algorithm for both noise-free and noisy cases. The singular value behavior of the matrix is monitored and it is observed that at least two current induction profiles improve the images significantly. It is shown that induced current MR-EIT can be used to reconstruct absolute conductivity images without the need for any additional peripheral voltage measurement.
引用
收藏
页码:S289 / S305
页数:17
相关论文
共 50 条
  • [31] The Nonlinear Variation Regularization Algorithm for the Magnetic Resonance Electrical Impedance Tomography
    Liu, Jin-Zhen
    Xiong, Hui
    Li, Gang
    Lin, Ling
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2015, 25 (01) : 68 - 76
  • [32] Fast Magnetic Resonance Electrical Impedance Tomography with Highly Undersampled Data
    Song, Yizhuang
    Ammari, Habib
    See, Jin Keun
    SIAM JOURNAL ON IMAGING SCIENCES, 2017, 10 (02): : 558 - 577
  • [33] Phase artefact reduction in magnetic resonance electrical impedance tomography (MREIT)
    Lee, Byung Il
    Park, Chunjae
    Pyo, Hyun Chan
    Kwon, Ohin
    Woo, Eung Je
    PHYSICS IN MEDICINE AND BIOLOGY, 2006, 51 (20): : 5277 - 5288
  • [34] COMPARISON OF MAGNETIC RESONANCE ELECTRICAL IMPEDANCE TOMOGRAPHY (MREIT) RECONSTRUCTION ALGORITHMS
    Eyuboglu, B. Murat
    Arpinar, V. Emre
    Boyacioglu, Rasim
    Degirmenci, Evren
    Eker, Gokhan
    2010 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 2010, : 700 - 703
  • [35] Measurement of ion diffusion using magnetic resonance electrical impedance tomography
    Hamamura, Mark J.
    Muftuler, L. Tugan
    Birgul, Ozlem
    Nalcioglu, Orhan
    PHYSICS IN MEDICINE AND BIOLOGY, 2006, 51 (11): : 2753 - 2762
  • [36] Electrical Impedance Tomography Based on Vibration Excitation in Magnetic Resonance System
    Li, Shi-qiang
    Liu, Guo-qiang
    Xin, Xue-gang
    Wang, Xin-li
    2016 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATION (ICEEA 2016), 2016,
  • [37] 43 Reconstruction algorithm of inductive magnetic resonance electrical impedance tomography
    Liu, G. Q.
    Meng, M.
    Jiang, J. Y.
    Wang, H.
    Wang, X. L.
    Jiang, L. T.
    13TH INTERNATIONAL CONFERENCE ON ELECTRICAL BIOIMPEDANCE AND THE 8TH CONFERENCE ON ELECTRICAL IMPEDANCE TOMOGRAPHY 2007, 2007, 17 : 520 - +
  • [38] Toward a magnetic resonance electrical impedance tomography in ultra-low field: A direct magnetic resonance imaging method by an external alternating current
    Lee, Seong-Joo
    Shim, Jeong Hyun
    Yu, Kwon Kyu
    Hwang, Seong-min
    Oh, Sangwon
    Hilschenz, Ingo
    Kim, Kiwoong
    APPLIED PHYSICS LETTERS, 2018, 112 (15)
  • [39] Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography
    Matej Kranjc
    Simona Kranjc
    Franci Bajd
    Gregor Serša
    Igor Serša
    Damijan Miklavčič
    Scientific Reports, 7
  • [40] Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography
    Kranjc, Matej
    Kranjc, Simona
    Bajd, Franci
    Sersa, Gregor
    Sersa, Igor
    Miklavcic, Damijan
    SCIENTIFIC REPORTS, 2017, 7