Deep learning-based reconstruction of highly accelerated 3D MRI
Deep learning-based reconstruction of highly accelerated 3D MRI
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Purpose: To accelerate brain 3D MRI scans by using a deep learning method for reconstructing images from highly-undersampled multi-coil k-space data Methods: DL-Speed, an unrolled optimization architecture with dense skip-layer connections, was trained on 3D T1-weighted brain scan data to reconstruct complex-valued images from highly-undersampled k...
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Deep learning-based reconstruction of highly accelerated 3D MRI
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TN_cdi_proquest_journals_2637818415
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2637818415
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2331-8422
