S17-392 Improved MRI reconstruction using deep learning, generative adversarial network and acquisition signal model Stanford researchers have developed novel methods to achieve more efficient, accurate and generalizable reconstruction from under-sampled MRI. Enhao Gong Greg Zaharchuk John Pauly Morteza Mardani
S17-364 MRI Acquisition Trajectory Optimization based on prior knowledge of image content, sensitivity and k-space statistics Researchers at Stanford developed a method to improve both the efficiency and the performance of MRI optimal trajectory design. Enhao Gong John Pauly Greg Zaharchuk Suchandrima Banerjee