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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Qing ZHENG, Zixuan MA, Yaping SU, Liyuan SONG, Yongxian ZHANG, Dandan LIU
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Editorial Office of Computerized Tomography Theory and Application 2026-07-01
سلاسل:	CT Lilun yu yingyong yanjiu
الموضوعات:	ultra-high-resolution detector deep learning reconstruction algorithm temporomandibular joint ct.
الوصول للمادة أونلاين:	https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.482
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!