Impact of a Deep Learning Reconstruction Algorithm Combined with an Ultra-high Resolution Detector on the Quality of Temporomandibular Joint Computed Tomography Images

Objective: This study aims to explore the impact of an ultra-high resolution detector combined with a deep learning reconstruction algorithm, ClearInfinity (CI), on the image quality of temporomandibular joint (TMJ) computed tomography (CT) scans. Methods: Seven fresh cadaveric head specimens were s...

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Bibliografski detalji

Glavni autori:	Qing ZHENG, Zixuan MA, Yaping SU, Liyuan SONG, Yongxian ZHANG, Dandan LIU
Format:	Artigo
Jezik:	Inglês
Izdano:	Editorial Office of Computerized Tomography Theory and Application 2026-07-01
Serija:	CT Lilun yu yingyong yanjiu
Teme:	ultra-high-resolution detector deep learning reconstruction algorithm temporomandibular joint ct.
Online pristup:	https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.482
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