Abstract #4714

Complex-Valued Convolutional Neural Networks for MRI Reconstruction

Elizabeth Cole¹, John Pauly¹, Shreyas Vasanawala², and Joseph Cheng²

¹Electrical Engineering, Stanford University, Stanford, CA, United States, ²Radiology, Stanford University, Stanford, CA, United States

To improve MRI reconstruction accuracy, we propose various complex-valued frameworks for reconstructions using convolutional neural networks. By introducing complex-valued convolution and activation functions, we improve reconstruction of our subsampled images and achieve competitive results compared to the real-valued counterpart of our model.

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