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Abstract #2443

Accelerating Brain Diffusion Tensor Imaging using Neural Networks: A Comparison of three Neural Networks

Yuhao Yan1,2 and Zheng Chang1,2
1Medical Physics Graduate Program, Duke University, Durham, NC, United States, 2Department of Radiation Oncology, Duke University, Durham, NC, United States

This work focused on accelerating DTI using deep learning methods. Three neural networks including U-net, PD-net and Cascade-net were investigated on reconstructing DTI images, ADC maps and FA maps from Cartesian under-sampled k-space data. The results indicated that Cascade-net out-performed the other two networks, obtaining comparable image quality as compared with the reference reconstructed from full k-space data. In summary, neural networks can be used to accelerate DTI while maintaining image quality.

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