Edward S. Hui1,2, Joseph A. Helpern3,4, Ed X. Wu1,2
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China; 2Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China; 3Department of Radiology, New York University School of Medicine, New York, NY 10016, USA; 4Centre for Advanced Brain Imaging, The Nathan Lkine Institute, Orangeburg, NY 10962, USA
One of the major limitations of DTI is its vulnerability to CSF contamination. To remove such effect, FLAIR preparation and the two-compartment tensor model have been proposed. However, they require substantially increased scan time (and lead to reduced brain tissue SNR in the former case). A simple and effective approach is proposed in the current study. Diffusion tensor (DT) was computed from diffusion-weighted images acquired with b-value=500 and 1000s/mm2. Experiments were performed in volunteers and rodents to compare this approach and conventional DTI, demonstrating effective reduction of CSF contamination.