Exploring the impact of super-resolution deep learning on MR angiography image quality.

Purpose: The aim of this study is to assess the effect of super-resolution deep learning-based reconstruction (SR-DLR), which uses k-space properties, on image quality of intracranial time-of-flight (TOF) magnetic resonance angiography (MRA) at 3 T. Methods: This retrospective study involved 35 pati...

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Publicado en:	Neuroradiology Vol. 66; no. 2; pp. 217 - 227
Autores principales:	Hokamura, Masamichi, Uetani, Hiroyuki, Nakaura, Takeshi, Matsuo, Kensei, Morita, Kosuke, Nagayama, Yasunori, Kidoh, Masafumi, Yamashita, Yuichi, Ueda, Mitsuharu, Mukasa, Akitake, Hirai, Toshinori
Formato:	diagnostic images equations & formulas research tables/charts Journal Article
Publicado:	Springer Nature Feb2024
Acceso en línea:	Ver este registro en EBSCOhost