MR electrical properties imaging using a generalized image-based method

被引:7
|
作者
Soullie, Paul [1 ]
Missoffe, Alexia [1 ]
Ambarki, Khalid [2 ]
Felblinger, Jacques [1 ,3 ,4 ]
Odille, Freddy [1 ,3 ,4 ]
机构
[1] Univ Lorraine, INSERM U1254, IADI, Rue Morvan, F-54511 Nancy, France
[2] Siemens Healthcare, Erlangen, Germany
[3] Univ Lorraine, INSERM, CIC IT 1433, Nancy, France
[4] CHRU Nancy, Nancy, France
关键词
conductivity; edge artifact; image-based; MREPT; permittivity; ultrashort echo-time (UTE); CONDUCTIVITY; COIL; TOMOGRAPHY; EQUATIONS; ROBUST;
D O I
10.1002/mrm.28458
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose To develop a fast and easy-to-use electrical properties tomography (EPT) method based on a single MR scan, avoiding both the need of a B-1-map and transceive phase assumption, and that is robust against noise. Theory Derived from Maxwell's equations, conductivity, and permittivity are reconstructed from a new partial differential equation involving the product of the RF fields and its derivatives. This also allows us to clarify and revisit the relevance of common assumptions of MREPT. Methods Our new governing equation is solved using a 3D finite-difference scheme and compared to previous frameworks. The benefits of our method over selected existing MREPT methods are demonstrated for different simulation models, as well as for both an inhomogeneous agar phantom gel and in vivo brain data at 3T. Results Simulation and experimental results are illustrated to highlight the merits of the proposed method over existing methods. We show the validity of our algorithm in versatile configurations, with many transition regions notably. Complex admittivity maps are also provided as a complementary MR contrast. Conclusion Because it avoids time-consuming RF field mapping and generalizes the use of standard MR image for electrical properties reconstruction, this contribution is promising as a new step forward for clinical applications.
引用
收藏
页码:762 / 776
页数:15
相关论文
共 50 条
  • [1] Method of generalized projections algorithm for image-based reduction of artifacts in radial imaging
    Lee, KJ
    Paley, MNJ
    Griffiths, PD
    Wild, JM
    MAGNETIC RESONANCE IN MEDICINE, 2005, 54 (01) : 246 - 250
  • [2] Soiling Quantification Using an Image-Based Method: Effects of Imaging Conditions
    Yang, Mingda
    Ji, Jim
    Guo, Bing
    IEEE JOURNAL OF PHOTOVOLTAICS, 2020, 10 (06): : 1780 - 1787
  • [3] MR image quality testing of k-space- and image-based parallel imaging techniques using the ACR phantom
    Chen, C. C.
    Wai, Y. Y.
    Liu, H. L.
    MEDICAL PHYSICS, 2006, 33 (06) : 2009 - 2010
  • [4] Image-based rendering using image-based priors
    Fitzgibbon, A
    Wexler, Y
    Zisserman, A
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2005, 63 (02) : 141 - 151
  • [5] Image-Based Rendering Using Image-Based Priors
    Andrew Fitzgibbon
    Yonatan Wexler
    Andrew Zisserman
    International Journal of Computer Vision, 2005, 63 : 141 - 151
  • [6] Image-based rendering using image-based priors
    Fitzgibbon, A
    Wexler, Y
    Zisserman, A
    NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, 2003, : 1176 - 1183
  • [7] Modeling brain electrical activity by an image-based boundary element method
    Chen, X. L.
    Zhang, H.
    Wu, M.
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2010, 34 (11) : 995 - 1002
  • [8] An Image-based Approach to MR Artifacts in Neuroradiology
    Morelli, J.
    Runge, V.
    Ai, F.
    Vu, L.
    Nitz, W.
    Schmeets, S.
    Garg, V.
    Desai, S.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2010, 194 (05)
  • [9] On generalized sampling for image-based rendering data
    Zhang, C
    Chen, T
    2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING SIGNAL, PROCESSING EDUCATION, 2003, : 469 - 472
  • [10] Image-based classification of bladder state using electrical impedance tomography
    Dunne, Eoghan
    Santorelli, Adam
    McGinley, Brian
    Leader, Geraldine
    O'Halloran, Martin
    Porter, Emily
    PHYSIOLOGICAL MEASUREMENT, 2018, 39 (12)