Image quality assessment of 3D-CT data obtained by four different image guided radiationtherapy devices

被引:0
|
作者
Nill, S. [1 ]
Stuetzel, J. [1 ]
Oelfke, U. [1 ]
机构
[1] German Canc Res Ctr, Dept Med Phys, D-6900 Heidelberg, Germany
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
569
引用
收藏
页码:S247 / S247
页数:1
相关论文
共 50 条
  • [41] Natural image statistics based 3D reduced reference image quality assessment in contourlet domain
    Wang, Xu
    Liu, Qiong
    Wang, Ran
    Chen, Zhuo
    NEUROCOMPUTING, 2015, 151 : 683 - 691
  • [42] Blind light field image quality assessment combining disparity compensation with 3D data processing
    Cheng J.
    Yu M.
    Jiang G.
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2023, 31 (08): : 1202 - 1216
  • [43] Bivariate analysis of 3D structure for stereoscopic image quality assessment
    Yao, Yang
    Shen, Liquan
    An, Ping
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018, 65 : 128 - 140
  • [44] Assessment of image quality with a fast fully 3D reconstruction algorithm
    Daube-Witherspoon, ME
    Matej, S
    Karp, JS
    2001 IEEE NUCLEAR SCIENCE SYMPOSIUM, CONFERENCE RECORDS, VOLS 1-4, 2002, : 2238 - 2242
  • [45] Binocular Responses for No-Reference 3D Image Quality Assessment
    Zhou, Wujie
    Yu, Lu
    IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 18 (06) : 1077 - 1084
  • [46] Stochastic rank correlation: A robust merit function for 2D/3D registration of image data obtained at different energies
    Birkfellner, Wolfgang
    Stock, Markus
    Figl, Michael
    Gendrin, Christelle
    Hummel, Johann
    Dong, Shuo
    Kettenbach, Joachim
    Georg, Dietmar
    Bergmann, Helmar
    MEDICAL PHYSICS, 2009, 36 (08) : 3420 - 3428
  • [47] Method for measuring the focal distance of 3D-CT imaging system with high accuracy using image auto-correlation
    School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2007, 33 (10): : 1216 - 1219
  • [48] 3D No-Reference Image Quality Assessment via Transfer Learning and Saliency-Guided Feature Consolidation
    Xu, Xiaogang
    Shi, Bufan
    Gu, Zijin
    Deng, Ruizhe
    Chen, Xiaodong
    Krylov, Andrey S.
    Ding, Yong
    IEEE ACCESS, 2019, 7 : 85286 - 85297
  • [49] Characterization of Image Quality for 3D Scatter Corrected Breast CT Images
    Pachon, Jan H.
    Shah, Jainil
    Tornai, Martin P.
    MEDICAL IMAGING 2011: PHYSICS OF MEDICAL IMAGING, 2011, 7961
  • [50] Performance of four dual-energy CT platforms for abdominal imaging: a task-based image quality assessment based on phantom data
    Greffier, J.
    Si-Mohamed, S.
    Dabli, D.
    de Forges, H.
    Hamard, A.
    Douek, P.
    Beregi, J. P.
    Frandon, J.
    EUROPEAN RADIOLOGY, 2021, 31 (07) : 5324 - 5334