Assessment of deep learning image reconstruction (DLIR) on image quality in pediatric cardiac CT datasets type of manuscript: Original research.

Journal: PloS one

Published Date: Aug 26, 2024

Abstract

BAKGROUND: To evaluate the quantitative and qualitative image quality using deep learning image reconstruction (DLIR) of pediatric cardiac computed tomography (CT) compared with conventional image reconstruction methods.

Authors

Hyun-Hae Cho

Department of Radiology and Medical Research Institute, College of Medicine, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea.
So Mi Lee

Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea.
Sun Kyoung You

Department of Radiology, Chungnam National University College of Medicine, Daejeon, Republic of Korea.

Keywords

Adolescent Child Child, Preschool Deep Learning Female Heart Humans Image Processing, Computer-Assisted Infant Infant, Newborn Male Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (39186484)

Assessment of deep learning image reconstruction (DLIR) on image quality in pediatric cardiac CT datasets type of manuscript: Original research.

Abstract

Authors

Keywords

External Resources

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