Weighted iterative reconstruction for magnetic particle imaging

摘要: Magnetic particle imaging (MPI) is a new technique capable of the distribution superparamagnetic particles at high spatial and temporal resolution. For reconstruction distribution, system linear equations has to be solved. The mathematical solution this can obtained using least-squares approach. In paper, it shown that quality improved by incorporating weighting matrix reciprocal matrix-row energy as weights. A further benefit iterative algorithms, such conjugate gradient method, converge rapidly yielding same image singular value decomposition in only few iterations. Thus, strategy combination with method improves substantially shortens time. performance algorithms assessed experimental data 2D MPI scanner.