Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.

The aim of this study was to investigate whether super-resolution deep learning reconstruction (SR-DLR) is superior to conventional deep learning reconstruction (DLR) with respect to interobserver agreement in the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI. This retrospectiv...

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Publicado en:	Journal of Digital Imaging Vol. 37; no. 5; pp. 2466 - 2474
Autores principales:	Yasaka, Koichiro, Uehara, Shunichi, Kato, Shimpei, Watanabe, Yusuke, Tajima, Taku, Akai, Hiroyuki, Yoshioka, Naoki, Akahane, Masaaki, Ohtomo, Kuni, Abe, Osamu, Kiryu, Shigeru
Formato:	diagnostic images equations & formulas research tables/charts Journal Article
Publicado:	Springer Nature Oct2024
Acceso en línea:	Ver este registro en EBSCOhost