ELECTRIC CURRENT SOURCE ESTIMATION BY HIGH-RES MAGNETIC FIELD RESTORATION FROM SPARSE MAGNETIC MEASUREMENTS

摘要：

　　Electric current source estimation (also known as inverse problem) is a common problem to various electric and magnetic imaging applications.For example in magnetocardiography (MCG),electric activities in the heart are reconstructed from sparse measurements of their magnetic field for diagnosis.The inverse problem requires optimizing a highly nonlinear process even in case of a single current source.The existing methods thus often need a good initialization,which cannot be directly provided by the sparse measurements.In this paper we restore the high-res magnetic field from the sparse measurements based on a model learning scheme.By this means a good initialization can be obtained for solving the inverse problem.We then introduce a dual-step optimization algorithm to estimate the current source.

关键词： Index Terms-MCG High-res restoration model learning interpolation inverse problem

作者: Chenyu Wu Jing Xiao

作者单位: Epson Research and Development, Inc.San Jose, USA

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 299-302

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）