Tianxiao Zhang1, Rong Guo2,3, Yudu Li2,3, Yibo Zhao2,3, Zhi-Pei Liang2,3, and Yao Li1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States
The signal dephasing in T2* mapping was corrected utilizing high-resolution field map
and pre-learned subspaces. The estimation bias in T2 was corrected with a
dictionary-based estimation. Improved T2' mapping was achieved in SPICE
experiments.
Figure
2. Comparison of T2* maps before and after the B0 field inhomogeneity
correction using the proposed method. Signal loss from dephasing in the frontal
region was successfully recovered.
Figure
4. Multi-modal images including MPRAGE+C, FLAIR, T2', choline to creatine ratio and NAA
to creatine ratio maps of a glioma patient. Concurrent increase of T2' value and Cho/Cr and decrease of NAA/Cr in tumor
area could be observed.