Contrast Study of Low Tube Current Combined with Deep Learning Algorithms in Paranasal Sinus CT Imaging

Contrast Study of Low Tube Current Combined with Deep Learning Algorithms in Paranasal Sinus CT Imaging

Objective: To explore the application effect of a low tube current combined with a deep learning algorithm in paranasal sinus computed tomography (CT) imaging and to evaluate its advantages in terms of image quality and radiation dose. Methods: Patients who underwent paranasal sinus CT examinations...

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Bibliographic Details
Main Authors: Yufei SUN, Zhaohui ZHONG, Xiangming LI, Wanbo ZHOU, Chensi XU, Miao DENG, Lixin ZHANG
Format: Article
Language:English
Published: Editorial Office of Computerized Tomography Theory and Application 2025-05-01
Series:CT Lilun yu yingyong yanjiu
Subjects:
deep learning algorithm
iterative algorithm
paranasal sinus ct
low-dose ct
Online Access:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.288
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https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.288

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