Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise

Objective: Iterative reconstruction degrades image quality. Thus, further advances in image reconstruction are necessary to overcome some limitations of this technique in low-dose computed tomography (LDCT) scan of the chest. Deep-learning image reconstruction (DLIR) is a new method used to reduce d...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Korean journal of radiology 2021, Vol.22 (1), p.131-138
Hauptverfasser:	Joo Hee Kim, Hyun Jung Yoon, Eunju Lee, Injoong Kim, Yoon Ki Cha, So Hyeon Bak
Format:	Artikel
Sprache:	kor
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!