Forward Field Computation with OpenMEEG

被引:85
|
作者
Gramfort, Alexandre [1 ]
Papadopoulo, Theodore [2 ]
Olivi, Emmanuel [2 ]
Clerc, Maureen [2 ]
机构
[1] Neurospin CEA, INRIA Saclay Ile De France, Parietal Project Team, F-91191 Gif Sur Yvette, France
[2] INRIA Sophia Antipolis Mediterranee, Athena Project Team, F-06902 Sophia Antipolis, France
关键词
ELECTROMAGNETIC THEORY; HEAD; EEG; ELECTROCARDIOLOGY; CONDUCTIVITY; MEG/EEG; MODEL;
D O I
10.1155/2011/923703
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
To recover the sources giving rise to electro- and magnetoencephalography in individual measurements, realistic physiological modeling is required, and accurate numerical solutions must be computed. We present OpenMEEG, which solves the electromagnetic forward problem in the quasistatic regime, for head models with piecewise constant conductivity. The core of OpenMEEG consists of the symmetric Boundary Element Method, which is based on an extended Green Representation theorem. OpenMEEG is able to provide lead fields for four different electromagnetic forward problems: Electroencephalography (EEG), Magnetoencephalography (MEG), Electrical Impedance Tomography (EIT), and intracranial electric potentials (IPs). OpenMEEG is open source and multiplatform. It can be used from Python and Matlab in conjunction with toolboxes that solve the inverse problem; its integration within FieldTrip is operational since release 2.0.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Dipole Models for Forward/Inverse Torque Computation of a Spherical Motor
    Lee, Kok-Meng
    Bai, Kun
    Lim, Jungyoul
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2009, 14 (01) : 46 - 54
  • [42] Amplify-and-Forward on a Multiaccess Relay Channel With Computation at the Receiver
    El Soussi, Mohieddine
    Zaidi, Abdellatif
    Vandendorpe, Luc
    2012 6TH INTERNATIONAL CONFERENCE ON NETWORK GAMES, CONTROL AND OPTIMIZATION (NETGCOOP), 2012, : 74 - 79
  • [43] Computation of forward-speed wave-body interactions
    Qiu, Wei
    Peng, Hongxuan
    PROCEEDINGS OF THE SIXTEENTH (2006) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 3, 2006, : 249 - +
  • [44] Efficient computation for sequential forward observation selection in image reconstruction
    Yun, G
    Reeves, SJ
    1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3, 1998, : 380 - 384
  • [45] Quantum State Tomography With Feed-Forward - Towards Embedding Feed-Forward in Quantum Computation
    Vidro, L.
    Pilnyak, Y.
    Eisenberg, H. S.
    2021 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2021,
  • [46] One-Dimensional Forward–Forward Mean-Field Games
    Diogo A. Gomes
    Levon Nurbekyan
    Marc Sedjro
    Applied Mathematics & Optimization, 2016, 74 : 619 - 642
  • [47] Field computation in natural and artificial intelligence
    MacLennan, BJ
    INFORMATION SCIENCES, 1999, 119 (1-2) : 73 - 89
  • [48] COMPUTATION OF FIELD-IONIZATION PROBABILITIES
    JUNKER, BR
    BULLETIN OF THE AMERICAN PHYSICAL SOCIETY, 1979, 24 (09): : 1194 - 1194
  • [49] On the optimal computation of finite field exponentiation
    Cruz-Cortés, N
    Rodríguez-Henríquez, F
    Coello, CAC
    ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2004, 2004, 3315 : 747 - 756
  • [50] Computation of beam propagation in turbulent field
    Yang, Yao
    Cen, Zhaofeng
    Li, Xiaotong
    ADVANCED OPTICAL DESIGN AND MANUFACTURING TECHNOLOGY AND ASTRONOMICAL TELESCOPES AND INSTRUMENTATION, 2016, 10154