Partial Fourier reconstruction of complex MR images using complex-valued convolutional neural networks.
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DOI: 10.1002/mrm.29033
Abstract: PURPOSE To provide a complex-valued deep learning approach for partial Fourier (PF) reconstruction of complex MR images. METHODS Conventional PF reconstruction methods, such as projection onto convex sets (POCS), uses low-resolution image phase information from… read more here.
Keywords: reconstruction; phase; image; fourier reconstruction ... See more keywords