Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensities
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DOI: 10.1007/s11604-024-01666-5
Abstract: To evaluate deep learning-reconstructed (DLR)–fluid-attenuated inversion recovery (FLAIR) images generated from undersampled data, compare them with fully sampled and rapidly acquired FLAIR images, and assess their potential for white matter hyperintensity evaluation. We examined 30… read more here.
Keywords: white matter; dlr flair; flair; flair images ... See more keywords