Spatial-temporal source reconstruction of MEG via variational EM algorithm
Magnetoencephalography(MEG) is a new non-invasivebrain imaging technique reconstructed electronic activ-itiesof brain by measured the magnetic field surrounding scalp.The aim of this paper is to explore a new method of MEGsource spatio-temporal reconstruction based on optimizing thereconstructed MEG source model. We make the assumption that the stimulated electronic activities of the brain are located ona particular part of cortex where we partition it with multipleeven voxels. In terms of Biot-Savart Law of electromagnetism, thespatial source model is built with multiple unknown parameterswhich reflect the information of the source location. Then, we tryto solve this parameters optimization as a Maximum-likelihoodestimation(MLE) using variational EM algorithm. According to the application of this approach , this paper also addresses that the solution of MEG signal reconstruction should be consideredto avoid overlapping the calculation complexity, which may resultin too expensive calculation to practice. Whereas, this approachalso provides a new possibility and the new angle to solve MEGsource reconstruction.
Jing Kan Richard Wilson
Department of Computer Science University of York, UK
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）