Whole-brain quantitative diffusion MRI at 660 µm resolution in 25 minutes using gSlider-SMS and SNR-enhancing joint reconstruction
Justin P Haldar1, Qiuyun Fan2, and Kawin Setsompop2
1Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 2A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
We propose a novel approach to data acquisition and
image reconstruction that achieves high-quality in vivo whole-brain human diffusion imaging at (660 µm)3
resolution in 25 minutes. The approach
uses a powerful acquisition strategy (generalized SLIce Dithered
Enhanced Resolution Simultaneous MultiSlice, or
gSlider-SMS) that enables
high-resolution whole-brain imaging in 25 minutes (64 diffusion weightings + 7
b=0 images), but the resulting images suffer from low SNR without
averaging. To address the SNR problem,
we utilize a regularized reconstruction/denoising approach that leverages the
shared spatial structure of different diffusion images. In vivo
results demonstrate the effectiveness of this approach.
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