Enhancement of MRI-based Signal-to-Noise Ratio with Noise Scrambling
Lin Wu, Jie Yu, Tao Zhang · 2022
The noise scrambling technology improves the Spurious-free Dynamic Range (SFDR) of the sampled signal in the electronic field. In this paper, noise scrambling is introduced into the SNR improvement of the magnetic resonance imaging (MRI) receiving signal for the first time. Firstly, the SinC signal is used to simulate the MRI receiving signal for simulation. When the jitter noise amplitude reaches about 48 LSB, the signal-to-noise ratio (SNR) reaches 107.59 dB, which is about 3.3 dB higher than when there is no scrambling. The real MRI k-space data is used as the analog input signal of the simulation model. After the analog signal is processed by the simulation model, a new group of k-space data will output. Compared with the SNR of the reconstructed image from the real k-space data, the SNR of the reconstructed image from the new k-space data processed by simulation model increases by about 10%. Through the simulation experiments in this paper, the noise scrambling technology can indeed improve the SNR of the MRI receiving signal.