1. Deep Learning Reconstruction Plus Single-Energy Metal Artifact Reduction for Supra Hyoid Neck CT in Patients With Dental Metals.
- Author
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Mizuki, Masumi, Yasaka, Koichiro, Miyo, Rintaro, Ohtake, Yuta, Hamada, Akiyoshi, Hosoi, Reina, and Abe, Osamu
- Subjects
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DEEP learning , *DIGITAL image processing , *HYOID bone , *DENTURES , *NOISE , *ACQUISITION of data , *RETROSPECTIVE studies , *QUANTITATIVE research , *PLASTIC surgery , *DENTAL metallurgy , *DIAGNOSTIC imaging , *COMPARATIVE studies , *MEDICAL records , *RESEARCH funding , *COMPUTED tomography , *MEDICAL artifacts , *DENTAL fillings , *OROPHARYNX , *EVALUATION ,NECK radiography - Abstract
Purpose: We investigated the effect of deep learning reconstruction (DLR) plus single-energy metal artifact reduction (SEMAR) on neck CT in patients with dental metals, comparing it with DLR and with hybrid iterative reconstruction (Hybrid IR)–SEMAR. Methods: In this retrospective study, 32 patients (25 men, 7 women; mean age: 63 ± 15 years) with dental metals underwent contrast-enhanced CT of the oral and oropharyngeal regions. Axial images were reconstructed using DLR, Hybrid IR–SEMAR, and DLR-SEMAR. In quantitative analyses, degrees of image noise and artifacts were evaluated. In one-by-one qualitative analyses, 2 radiologists evaluated metal artifacts, the depiction of structures, and noise on five-point scales. In side-by-side qualitative analyses, artifacts and overall image quality were evaluated by comparing Hybrid IR–SEMAR with DLR-SEMAR. Results: Artifacts were significantly less with DLR-SEMAR than with DLR in quantitative (P <.001) and one-by-one qualitative (P <.001) analyses, which resulted in significantly better depiction of most structures (P <.004). Artifacts in side-by-side analysis and image noise in quantitative and one-by-one qualitative analyses (P <.001) were significantly less with DLR-SEMAR than with Hybrid IR–SEMAR, resulting in significantly better overall quality of DLR-SEMAR. Conclusions: Compared with DLR and Hybrid IR–SEMAR, DLR-SEMAR provided significantly better supra hyoid neck CT images in patients with dental metals. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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