Feasibility study of super-resolution deep learning-based reconstruction using k-space data in brain diffusion-weighted images.

Purpose: The purpose of this study is to evaluate the influence of super-resolution deep learning-based reconstruction (SR-DLR), which utilizes k-space data, on the quality of images and the quantitation of the apparent diffusion coefficient (ADC) for diffusion-weighted images (DWI) in brain magneti...

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Bibliographic Details

Published in:	Neuroradiology Vol. 65; no. 11; pp. 1619 - 1630
Main Authors:	Matsuo, Kensei, Nakaura, Takeshi, Morita, Kosuke, Uetani, Hiroyuki, Nagayama, Yasunori, Kidoh, Masafumi, Hokamura, Masamichi, Yamashita, Yuichi, Shinoda, Kensuke, Ueda, Mitsuharu, Mukasa, Akitake, Hirai, Toshinori
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	Springer Nature Nov2023
Online Access:	View this record in EBSCOhost