Deep learning-based correction of PET attenuation correction artifacts at the lung-liver interface

被引:0
|
作者
Bradshaw, Tyler [1 ]
McMillan, Alan [1 ]
Cho, Steve [1 ]
机构
[1] Univ Wisconsin, Madison, WI USA
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
1470
引用
收藏
页数:1
相关论文
共 50 条
  • [41] A deep learning approach for 18F-FDG PET attenuation correction
    Fang Liu
    Hyungseok Jang
    Richard Kijowski
    Gengyan Zhao
    Tyler Bradshaw
    Alan B. McMillan
    EJNMMI Physics, 5
  • [42] Correction of oral contrast artifacts in CT-based attenuation correction of PET images using an automated segmentation algorithm
    Bidgoli, J. H.
    Sarkar, S.
    Alunadian, A.
    Zaidi, H.
    Reza, Mohammad
    2007 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-11, 2007, : 3542 - +
  • [43] Correction of oral contrast artifacts in CT-based attenuation correction of PET images using an automated segmentation algorithm
    Alireza Ahmadian
    Mohammad R. Ay
    Javad H. Bidgoli
    Saeed Sarkar
    Habib Zaidi
    European Journal of Nuclear Medicine and Molecular Imaging, 2008, 35
  • [44] Correction of oral contrast artifacts in CT-based attenuation correction of PET images using an automated segmentation algorithm
    Ahmadian, Alireza
    Ay, Mohammad R.
    Bidgoli, Javad H.
    Sarkar, Saeed
    Zaidi, Habib
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2008, 35 (10) : 1812 - 1823
  • [45] Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction
    Mecheter, Imene
    Amira, Abbes
    Abbod, Maysam
    Zaidi, Habib
    2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2020, : 2516 - 2520
  • [46] Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging
    Chen, Yasheng
    Ying, Chunwei
    Binkley, Michael M.
    Juttukonda, Meher R.
    Flores, Shaney
    Laforest, Richard
    Benzinger, Tammie L. S.
    An, Hongyu
    MAGNETIC RESONANCE IN MEDICINE, 2021, 86 (01) : 499 - 513
  • [47] External validation of deep learning-based attenuation correction for chest FDG PET/MRI using Zero-TE MRI and unpaired PET/CT data
    Nogami, M.
    Matsuo, H.
    Tachibana, M.
    Inukai, J. I.
    Zeng, F.
    Kurimoto, T.
    Kubo, K.
    Okazawa, H.
    Murakami, T.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2024, 51 : S131 - S132
  • [48] Comparison of deep learning-based emission-only attenuation correction methods for positron emission tomography
    Donghwi Hwang
    Seung Kwan Kang
    Kyeong Yun Kim
    Hongyoon Choi
    Jae Sung Lee
    European Journal of Nuclear Medicine and Molecular Imaging, 2022, 49 : 1833 - 1842
  • [49] Comparison of deep learning-based emission-only attenuation correction methods for positron emission tomography
    Hwang, Donghwi
    Kang, Seung Kwan
    Kim, Kyeong Yun
    Choi, Hongyoon
    Lee, Jae Sung
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (06) : 1833 - 1842
  • [50] Local Motion Correction and Influence of Attenuation Correction in PET/CT for lung tumors
    Bundschuh, R. A.
    Martinez-Moeller, A.
    Essler, M.
    Delso, G.
    Nekolla, S. G.
    Ziegler, S. I.
    Schwaiger, M.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2008, 35 : S188 - S189