Deep learning-based reconstruction on cardiac CT yields distinct radiomic features compared to iterative and filtered back projection reconstructions

Deep learning-based reconstruction on cardiac CT yields distinct radiomic features compared to iterative and filtered back projection reconstructions

Abstract We aimed to determine the effects of deep learning-based reconstruction (DLR) on radiomic features obtained from cardiac computed tomography (CT) by comparing with iterative reconstruction (IR), and filtered back projection (FBP). A total of 284 consecutive patients with 285 cardiac CT scan...

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Bibliographic Details
Main Authors: Sei Hyun Chun, Young Joo Suh, Kyunghwa Han, Yonghan Kwon, Aaron Youngjae Kim, Byoung Wook Choi
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-19546-1

Internet

https://doi.org/10.1038/s41598-022-19546-1

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