Fanwen Wang1, Hui Zhang1, Fei Dai1, Weibo Chen2, Chengyan Wang3, and He Wang1,3
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Philips Healthcare, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Philips Healthcare, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China
This study proposed a novel
method to reconstruct four-shot high-resolution DWIs from one-shot data for
multiple b-values simultaneously, enabling the physiological feature
transformation through different b-value.
Figure 1: The proposed model for multi-coil
high-resolution DWI reconstruction. The network combines losses from four channels
to back propagate. Each channel consists of a de-aliasing layer and a data consistency
layer to recover from aliasing artifacts.
Figure 2: Comparison of
reconstructed images for multiple b-values in healthy volunteers. The
calculated ADC maps are shown leftmost. The b-values are listed on each column.
SSIMs are listed at the bottom-right of each image. The rightmost four columns
represent the corresponding error maps. The error was x5 amplified for better
visualization. The aliasing artifacts are shown by arrows.