Abstract #2840

Compressed Sensing Diffusion Tensor Imaging (DTI) with Tensor & Phase Constraints

Yue Li¹, Manisha Aggarwal¹, Jiangyang Zhang², Susumu Mori²

¹Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States; ²Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Compressed sensing method and its variations have been developed for reconstruction of MRI using undersampled k space data. Here we propose a constraint dedicated for diffusion tensor imaging (DTI) as well as a phase constraint that has been used in partial Fourier reconstruction to improve compressed sensing reconstruction accuracy. The testing result on high field mouse embryo DTI shows improvement of reconstruction accuracy in both diffusion weighted (DW) and tensor images.