Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction

被引:0
|
作者
Tetsuro Kaga
Yoshifumi Noda
Takayuki Mori
Nobuyuki Kawai
Toshiharu Miyoshi
Fuminori Hyodo
Hiroki Kato
Masayuki Matsuo
机构
[1] Gifu University,Department of Radiology
[2] Gifu University Hospital,Department of Radiology Services
[3] Gifu University,Department of Radiology, Frontier Science for Imaging
来源
关键词
Unenhanced abdominal low-dose CT; Deep learning-based image reconstruction; Abdominal anatomical structures depiction; CT dose-index volume; Size-specific dose estimates;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:703 / 711
页数:8
相关论文
共 50 条
  • [31] Deep learning image reconstruction algorithms in low-dose radiation abdominal computed tomography: assessment of image quality and lesion diagnostic confidence
    Yang, Chun
    Wang, Wenzhe
    Cui, Dingye
    Zhang, Jinliang
    Liu, Ling
    Wang, Yuxin
    Li, Wei
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2023, 13 (05) : 3161 - 3173
  • [32] Deep Learning with Adaptive Hyper-Parameters for Image Reconstruction in Low-Dose CT
    Ding, Q.
    Gao, H.
    Ji, H.
    MEDICAL PHYSICS, 2020, 47 (06) : E392 - E392
  • [33] Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction
    Ding, Qiaoqiao
    Nan, Yuesong
    Gao, Hao
    Ji, Hui
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2021, 7 : 648 - 660
  • [34] A dataset-free deep learning method for low-dose CT image reconstruction
    Ding, Qiaoqiao
    Ji, Hui
    Quan, Yuhui
    Zhang, Xiaoqun
    INVERSE PROBLEMS, 2022, 38 (10)
  • [35] Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
    Anushri Parakh
    Jinjin Cao
    Theodore T. Pierce
    Michael A. Blake
    Cristy A. Savage
    Avinash R. Kambadakone
    European Radiology, 2021, 31 : 8342 - 8353
  • [36] Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
    Parakh, Anushri
    Cao, Jinjin
    Pierce, Theodore T.
    Blake, Michael A.
    Savage, Cristy A.
    Kambadakone, Avinash R.
    EUROPEAN RADIOLOGY, 2021, 31 (11) : 8342 - 8353
  • [37] Image quality improvement with deep learning-based reconstruction on abdominal ultrahigh-resolution CT: A phantom study
    Shirasaka, Takashi
    Kojima, Tsukasa
    Funama, Yoshinori
    Sakai, Yuki
    Kondo, Masatoshi
    Mikayama, Ryoji
    Hamasaki, Hiroshi
    Kato, Toyoyuki
    Ushijima, Yasuhiro
    Asayama, Yoshiki
    Nishie, Akihiro
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2021, 22 (07): : 286 - 296
  • [38] Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation
    Yu, Xin
    Tang, Yucheng
    Yang, Qi
    Lee, Ho Hin
    Gao, Riqiang
    Bao, Shunxing
    Moore, Ann Zenobia
    Ferrucci, Luigi
    Landman, Bennett A.
    MEDICAL IMAGING 2023, 2023, 12464
  • [39] Deep learning-based low-dose CT for adaptive radiotherapy of abdominal and pelvic tumors
    Gong, Wei
    Yao, Yiming
    Ni, Jie
    Jiang, Hua
    Jia, Lecheng
    Xiong, Weiqi
    Zhang, Wei
    He, Shumeng
    Wei, Ziquan
    Zhou, Juying
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [40] Deep learning-based image quality improvement for low-dose computed tomography simulation in radiation therapy
    Wang, Tonghe
    Lei, Yang
    Tian, Zhen
    Dong, Xue
    Liu, Yingzi
    Jiang, Xiaojun
    Curran, Walter J.
    Liu, Tian
    Shu, Hui-Kuo
    Yang, Xiaofeng
    JOURNAL OF MEDICAL IMAGING, 2019, 6 (04)