A robust focused-SNR method to suppress spectrum leaking for calibration based magnetic particle imaging reconstruction

For calibration-based magnetic particle imaging (MPI) reconstruction, frequency selection is an important step as it can significantly reduce the computational burden. To suppress the spectral leakage problem of current SNR methods, we proposed a targeted Focused-SNR method in order to select more useful frequency components for high-quality image reconstruction. With the proposed method, a balance between reducing the computational burden and guaranteeing the reconstructed image is achieved. The experiments are compared using public Open-MPI dataset, and the results show that the proposed method is able to reconstruct high-quality image and have higher robustness when threshold changes.