Title :
A robust reconstruction of sparse biomagnetic sources
Author :
Matsuura, Kanta ; Okabe, Yoichi
Author_Institution :
Inst. of Ind. Sci., Tokyo Univ., Japan
Abstract :
Inequality constraints are introduced to a normalized minimum-L 1-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.
Keywords :
Monte Carlo methods; biomagnetism; digital simulation; inverse problems; medical signal processing; noise; physiological models; signal reconstruction; SNR; biomagnetic inverse problem; computer simulation; inequality constraints; measurement ambiguity; noise; noisy conditions; normalized minimum-L/sub 1/-norm estimator; numeric tolerance; phantom-data analysis; robust reconstruction; signal-to-noise ratios; sparse biomagnetic sources; sparse solution; tolerance; Biomagnetics; Computer simulation; Inverse problems; Magnetic analysis; Magnetic field measurement; Magnetic sensors; Noise measurement; Robustness; Signal analysis; Signal to noise ratio; Computer Simulation; Electromagnetic Fields; Image Processing, Computer-Assisted; Magnetoencephalography; Phantoms, Imaging;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
