The invention provides system and methods for reconstructing medical images using deep neural networks and recursive decimation of measurement data. Methods and systems are provided for reconstructing images from measurement data using one or more deep neural networks according to a decimation strategy. In one embodiment, a method for reconstructing an image using measurement data comprises, receiving measurement data acquired by an imaging device, selecting a decimation strategy, producing a reconstructed image from the measurement data using the decimation strategy and one or more deep neural networks, and displaying the reconstructed image via a display device. By decimating measurement data to form one or more decimated measurement data arrays, a computational complexity of mapping the measurement data to image data may be reduced from O(N<4>), where N is the size of the measurement data, to O(M<4>), where M is the size of an individual decimated measurement data array, wherein M < N.
SYSTEM AND METHODS FOR RECONSTRUCTING MEDICAL IMAGES USING DEEP NEURAL NETWORKS AND RECURSIVE DECIMATION OF MEASUREMENT DATA