首页> Diagnostic and interventional imaging> Contribution of an artificial intelligence deep-learning reconstruction algorithm for dose optimization in lumbar spine CT examination: A phantom study.

Contribution of an artificial intelligence deep-learning reconstruction algorithm for dose optimization in lumbar spine CT examination: A phantom study.

导出 LinkOut

翻译打印收藏纠错

第一作者： Joël,Greffier

第一单位： IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France; Department of Medical Physics, Nîmes University Hospital, 30029 Nîmes Cedex 9, France. Electronic address: joel.greffier@chu-nimes.fr.

作者： Joël,Greffier ^[1] ; Julien,Frandon ^[2] ; Quentin,Durand ^[2] ; Tarek,Kammoun ^[2] ; Maeliss,Loisy ^[2] ; Jean-Paul,Beregi ^[2] ; Djamel,Dabli ^[3]

作者单位： IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France; Department of Medical Physics, Nîmes University Hospital, 30029 Nîmes Cedex 9, France. Electronic address: joel.greffier@chu-nimes.fr. ^[1] IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France. ^[2] IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France; Department of Medical Physics, Nîmes University Hospital, 30029 Nîmes Cedex 9, France. ^[3]

关键词 Artificial intelligence Deep learning image reconstruction algorithm Lumbar spine Multidetector computed tomography Task-based image quality assessment

医学主题词人类(Humans);人工智能(Artificial Intelligence);辐射剂量(Radiation Dosage);体层摄影术, X线计算机(Tomography, X-Ray Computed);算法(Algorithms);体模, 显象术(Phantoms, Imaging);放射摄影影像解释, 计算机辅助(Radiographic Image Interpretation, Computer-Assisted)

DOI 10.1016/j.diii.2022.08.004

PMID 36100524

发布时间 2023-02-06

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交