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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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A low-signal-intensity graft (gray dashed arrows) on (A) sagittal T2WI_DL image (DLR T2-weighted FSE images), (B) axial T2WI_DL image, (C) axial 3D FSPGR image (three-dimensional fast spoiled gradient-recalled images), (D) T2WI_O (original T2-weighted FSE images), and (D) axial T1WI_DL (deep learning–reconstructed T1-weighted FSE images) image of a 26-year-old female who underwent an MR examination one year after receiving augmentation rhinoplasty with autogenous ear cartilage. T2WI_DL shows a clearer boundary between the graft and the tissue. DLR = deep-learning-based reconstruction, SP = septal cartilage (yellow dashed arrow), ULC = upper lateral cartilage (blue dashed arrow).