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. 2023 Sep 25;13(19):3044. doi: 10.3390/diagnostics13193044

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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(A1,A2) T2WI_DL (DLR T2-weighted FSE images), (B1,B2) T1WI_DL (DLR T1-weighted FSE images), (C1,C2) 3D FSPGR (three-dimensional fast spoiled gradient-recalled images), (D1,D2) T2WI_O (original T2-weighted FSE images), and (E1,E2) T1WI_O (original T1-weighted FSE images) in axial view of a 25-year-old female nasal cartilage. The overall image quality and contrast of FSE_DL images showed better than any other image sets because of less noise. T2WI_DL showed the best anatomical structure of nasal cartilage for higher contrast. No significantly different display of ULC between T1WI_DL and 3D FSPGR was observed (p > 0.05) while 3D FSPGR showed relatively poor image quality of SP. DLR = deep-learning-based reconstruction, SP = septal cartilage (yellow dashed arrow), LLC = lower lateral cartilage (green dashed arrow) and ULC = upper lateral cartilage (blue dashed arrow).