Automated quantification of PET lesions using anatomical information in CT images

被引:0
|
作者
Demirkaya, Omer [1 ]
Abouzied, Mohei [2 ]
机构
[1] King Faisal Specialist Hosp & Res Ctr, Dept Biomed Phys, Riyadh, Saudi Arabia
[2] King Faisal Specialist Hosp & Res Ctr, Dept Radiol, Riyadh, Saudi Arabia
来源
关键词
D O I
暂无
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
1036
引用
收藏
页数:1
相关论文
共 50 条
  • [1] Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images
    Bagci, Ulas
    Udupa, Jayaram K.
    Mendhiratta, Neil
    Foster, Brent
    Xu, Ziyue
    Yao, Jianhua
    Chen, Xinjian
    Mollura, Daniel J.
    [J]. MEDICAL IMAGE ANALYSIS, 2013, 17 (08) : 929 - 945
  • [2] Automated Quantification of Lymphoma On FDG PET/CT Images Using Cascaded Convolutional Neural Networks
    Weisman, A.
    Kieler, M.
    Perlman, S.
    Jeraj, R.
    Hutchings, M.
    Kostakoglu, L.
    Bradshaw, T.
    [J]. MEDICAL PHYSICS, 2019, 46 (06) : E466 - E466
  • [3] Correlation of anatomical and functional information from PET-CT images
    Bagci, Ulas
    Aras, Omer
    Mollura, Daniel
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2012, 53
  • [4] Automated lung tumor detection and quantification for respiratory gated PET/CT images
    Wang, Jiali
    del Valle, Misael
    Franquiz, Juan
    McGoron, Anthony
    [J]. MEDICAL IMAGING 2008: IMAGE PROCESSING, PTS 1-3, 2008, 6914
  • [5] Hybrid Scheme for Automated Classification of Pulmonary Nodules Using PET/CT Images and Patient Information
    Yamada, Ayumi
    Teramoto, Atsushi
    Hoshi, Masato
    Toyama, Hiroshi
    Imaizumi, Kazuyoshi
    Saito, Kuniaki
    Fujita, Hiroshi
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (12):
  • [6] Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT
    Wang, Tong
    Xing, Haiqun
    Li, Yige
    Wang, Sicong
    Liu, Ling
    Li, Fang
    Jing, Hongli
    [J]. BMC MEDICAL IMAGING, 2022, 22 (01)
  • [7] Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT
    Tong Wang
    Haiqun Xing
    Yige Li
    Sicong Wang
    Ling Liu
    Fang Li
    Hongli Jing
    [J]. BMC Medical Imaging, 22
  • [8] Automated delineation of stroke lesions using brain CT images
    Gillebert, Celine R.
    Humphreys, Glyn W.
    Mantini, Dante
    [J]. NEUROIMAGE-CLINICAL, 2014, 4 : 540 - 548
  • [9] Discrimination and anatomical mapping of PET-positive lesions: comparison of CT attenuation-corrected PET images with coregistered MR and CT images in the abdomen
    Kuhn, Felix P.
    Crook, David W.
    Mader, Caecilia E.
    Appenzeller, Philippe
    von Schulthess, G. K.
    Schmid, Daniel T.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2013, 40 (01) : 44 - 51
  • [10] Discrimination and anatomical mapping of PET-positive lesions: comparison of CT attenuation-corrected PET images with coregistered MR and CT images in the abdomen
    Felix P. Kuhn
    David W. Crook
    Caecilia E. Mader
    Philippe Appenzeller
    G. K. von Schulthess
    Daniel T. Schmid
    [J]. European Journal of Nuclear Medicine and Molecular Imaging, 2013, 40 : 44 - 51