A robust reconstruction of sparse biomagnetic sources.
Inequalty constraints are introduced to a normalized minimum-L1-norm estimator, which gives a sparse solution of the biomagnetic inverse problem. The constraints have a numeric tolerance to take into account the measurement ambiguity caused by noise. Computer simulation and phantom-data analysis show how the solution is improved by the constraints with a moderate tolerance; the improvement is examined in noisy conditions such that signal-to-noise ratios (SNR's) are lower than 10 dB.
Matsuura
K
K
3rd Department, Institute of Industrial Science, University of Tokyo, Japan. kanta@iis.u-tokyo.ac.jp
Okabe
Y
Y
D003198:Computer Simulation; D004574:Electromagnetic Fields; D007091:Image Processing, Computer-Assisted; D015225:Magnetoencephalography; D019047:Phantoms, Imaging