Litcius/Paper detail

Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography

Yasunori Nagayama, Takafumi Emoto, Yuki Kato, Masafumi Kidoh, Seitaro Oda, Daisuke Sakabe, Yoshinori Funama, Takeshi Nakaura, Hidetaka Hayashi, Sentaro Takada, Ryutaro Uchimura, Masahiro Hatemura, Kenichi Tsujita, Toshinori Hirai

2023European Radiology54 citationsDOI

Topics & Concepts

MedicineImage qualityIterative reconstructionImaging phantomImage noiseNoise (video)Nuclear medicineArtificial intelligenceRadiologyComputer scienceImage (mathematics)Cardiac Imaging and DiagnosticsMedical Imaging Techniques and ApplicationsCoronary Interventions and Diagnostics
Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography | Litcius