Fa-Hsuan Lin1,
2, Yi-Cheng Hsu3, Panu Vesanen2, Jaako O.
Nieminen2, Koos C. J. Zevenhoven2, Juhani Dabek2,
Lauri T. Parkkonen2, Risto J. Ilmoniemi2
1Institute
of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; 2Department
of Biomedical Engineering and Computational Science, Aalto University, Espoo,
Finland; 3Department of Mathematics, Nnational Taiwan University,
Taipei, Taiwan
To mitigate the challenge of low SNR in ultra-low-field (ULF) MRI (typically B0 ~ 100 &[mu]T), we exploit the simultaneous measurements from multiple superconductive quantum interference device (SQUID) sensors to enforce a linear dependency among local k-space data points across coils. Experimental data using 47 SQUID sensors demonstrate that this data consistency (DC) constraint can improve the ULF MRI peak SNR by 2 fold.