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Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions.

Sungeun ParkJeong Hee YoonIjin JooMi Hye YuJae Hyun KimJunghoan ParkSe Woo KimSeungchul HanChulkyun AhnJong Hyo KimJeong Min Lee
Published in: European radiology (2021)
• Low-dose liver CT using deep learning denoising (DLD), at 67% dose reduction, provided non-inferior overall image quality compared to standard-dose CT using model-based iterative reconstruction (MBIR). • Low-dose CT using DLD showed significantly less noise and higher CNR lesion to liver than standard-dose CT using MBIR and demonstrated at least average image quality score among all readers, albeit with lower scores than standard-dose CT using MBIR. • Low-dose liver CT showed noninferior detectability for malignant and pre-malignant liver lesions, compared to standard-dose CT.
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