Deep learning-based attenuation correction for brain PET with various radiotracers

被引：0
|
作者：
Fumio Hashimoto
Masanori Ito
Kibo Ote
Takashi Isobe
Hiroyuki Okada
Yasuomi Ouchi
机构：
[1] Hamamatsu Photonics K.K.,Central Research Laboratory
[2] Hamamatsu Photonics K.K.,Global Strategic Challenge Center
[3] Hamamatsu Medical Photonics Foundation,Hamamatsu Medical Imaging Center
[4] Hamamatsu University School of Medicine,Department of Biofunctional Imaging, Preeminent Medical Photonics Education and Research Center
来源：
Annals of Nuclear Medicine | 2021年 / 35卷
关键词：
Attenuation correction; Convolutional neural networks; Deep learning; Positron emission tomography (PET);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：691 / 701
页数：10
相关论文
共 50 条
  • [31] JACK KROHMER JUNIOR INVESTIGATOR COMPETITION WINNER: Deep Learning-Based Self Attenuation Correction for Whole-Body PET Imaging
    Dong, X.
    Lei, Y.
    Wang, T.
    Higgins, K.
    Liu, T.
    Curran, W.
    Mao, H.
    Nye, J.
    Yang, X.
    MEDICAL PHYSICS, 2019, 46 (06) : E192 - E192
  • [32] Truncation compensation and metallic dental implant artefact reduction in PET/MRI attenuation correction using deep learning-based object completion
    Arabi, Hossein
    Zaidi, Habib
    PHYSICS IN MEDICINE AND BIOLOGY, 2020, 65 (19):
  • [33] Does deep learning approaches outperform atlas-guided attenuation correction in brain PET/MRI?
    Arabi, Hossein
    Zeng, Guodong
    Zheng, Guoyan
    Zaidi, Habib
    JOURNAL OF NUCLEAR MEDICINE, 2019, 60
  • [34] Deep learning-based hyperspectral image correction and unmixing for brain tumor surgery
    Black, David
    Gill, Jaidev
    Xie, Andrew
    Liquet, Benoit
    Di Leva, Antonio
    Stummer, Walter
    Molina, Eric Suero
    ISCIENCE, 2024, 27 (12)
  • [35] Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers
    Mehranian, Abolfazl
    Wollenweber, Scott D.
    Bradley, Kevin M.
    Fielding, Patrick A.
    Huellner, Martin
    Iagaru, Andrei
    Dedja, Meghi
    Colwell, Theodore
    Kotasidis, Fotis
    Johnsen, Robert
    Jansen, Floris P.
    Mcgowan, Daniel R.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2025,
  • [36] Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application
    Shi, Luyao
    Zhang, Jiazhen
    Toyonaga, Takuya
    Shao, Dan
    Onofrey, John A.
    Lu, Yihuan
    PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (03):
  • [37] IMPROVED QUANTITATIVE SPECT MYOCARDIAL PERFUSION IMAGING USING DEEP LEARNING-BASED ATTENUATION CORRECTION
    Hagio, Tomoe
    Poitrasson-Riviere, Alexis
    Moody, Jonathan B.
    Renaud, Jennifer M.
    Arida-Moody, Liliana
    Shah, Ravi V.
    Ficaro, Edward P.
    Murthy, Venkatesh Locharla
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2022, 79 (09) : 1192 - 1192
  • [38] Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach
    Yang, Pei
    Zhang, Zeao
    Wei, Jianan
    Jiang, Lisha
    Yu, Liqian
    Cai, Huawei
    Li, Lin
    Guo, Quan
    Zhao, Zhen
    BMC MEDICAL IMAGING, 2025, 25 (01):
  • [39] Attenuation Correction with Deep Learning-Based Synthetic SPECT Imaging Outperforms Synthetic Polar Maps
    Shanbhag, Aakash Dhananjay
    Miller, Robert
    Pieszko, Konrad
    Lemley, Mark
    Feher, Attila
    Kavanagh, Paul
    Miller, Edward
    Kaufmann, Philipp
    Liang, Joanna
    Berman, Daniel
    Dey, Damini
    Slomka, Piotr
    JOURNAL OF NUCLEAR MEDICINE, 2023, 64
  • [40] 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
12345