“Virtual” attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning

被引:0
|
作者
Tomoe Hagio
Alexis Poitrasson-Rivière
Jonathan B. Moody
Jennifer M. Renaud
Liliana Arida-Moody
Ravi V. Shah
Edward P. Ficaro
Venkatesh L. Murthy
机构
[1] INVIA Medical Imaging Solutions,Division of Cardiovascular Medicine, Department of Internal Medicine
[2] University of Michigan,Department of Cardiology
[3] Massachusetts General Hospital,undefined
关键词
Deep learning; Attenuation correction; SPECT; MPI; Quantification; Myocardial perfusion;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:3140 / 3149
页数:9
相关论文
共 50 条
  • [1] "Virtual" attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning
    Hagio, Tomoe
    Poitrasson-Riviere, Alexis
    Moody, Jonathan B.
    Renaud, Jennifer M.
    Arida-Moody, Liliana
    Shah, Ravi, V
    Ficaro, Edward P.
    Murthy, Venkatesh L.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (09) : 3140 - 3149
  • [2] Synthetic Attenuation Correction Maps for SPECT Imaging Using Deep Learning: A Study on Myocardial Perfusion Imaging
    Canalejo, Mariana Andrea Prieto
    Pedro, Aley Palau San
    Geronazzo, Ricardo
    Minsky, Daniel Mauricio
    Juarez-Orozco, Luis Eduardo
    Namias, Mauro
    [J]. DIAGNOSTICS, 2023, 13 (13)
  • [3] Synthetic Attenuation Correction Maps for SPECT Imaging using Deep Learning: A Study on Myocardial Perfusion Imaging
    Namias, M.
    Prieto Canalejo, M. A.
    San Pedro, A. Palau
    Geronazzo, R.
    Minsky, D. M.
    Juarez Orozco, L. E.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (SUPPL 1) : S270 - S271
  • [4] 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
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2022, 79 (09) : 1192 - 1192
  • [5] Hybrid SPECT/CT for Attenuation Correction of Stress Myocardial Perfusion Imaging
    Huang, Rui
    Li, Fanglan
    Zhao, Zhen
    Liu, Bin
    Ou, Xiaohong
    Tian, Rong
    Li, Lin
    [J]. CLINICAL NUCLEAR MEDICINE, 2011, 36 (05) : 344 - 349
  • [6] Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging
    Mostafapour, Samaneh
    Gholamiankhah, Faeze
    Maroufpour, Sirwan
    Momennezhad, Mehdi
    Asadinezhad, Mohsen
    Zakavi, Seyed Rasoul
    Arabi, Hossein
    Zaidi, Habib
    [J]. JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2022, 9 (02) : 434 - 447
  • [7] Deep learning approach using SPECT-to-PET translation for attenuation correction in CT-less myocardial perfusion SPECT imaging
    Kawakubo, Masateru
    Nagao, Michinobu
    Kaimoto, Yoko
    Nakao, Risako
    Yamamoto, Atsushi
    Kawasaki, Hiroshi
    Iwaguchi, Takafumi
    Matsuo, Yuka
    Kaneko, Koichiro
    Sakai, Akiko
    Sakai, Shuji
    [J]. ANNALS OF NUCLEAR MEDICINE, 2024, 38 (03) : 199 - 209
  • [8] Deep learning approach using SPECT-to-PET translation for attenuation correction in CT-less myocardial perfusion SPECT imaging
    Masateru Kawakubo
    Michinobu Nagao
    Yoko Kaimoto
    Risako Nakao
    Atsushi Yamamoto
    Hiroshi Kawasaki
    Takafumi Iwaguchi
    Yuka Matsuo
    Koichiro Kaneko
    Akiko Sakai
    Shuji Sakai
    [J]. Annals of Nuclear Medicine, 2024, 38 : 199 - 209
  • [9] Attenuation correction using deep learning for brain perfusion SPECT images
    Kenta Sakaguchi
    Hayato Kaida
    Shuhei Yoshida
    Kazunari Ishii
    [J]. Annals of Nuclear Medicine, 2021, 35 : 589 - 599
  • [10] Attenuation correction using deep learning for brain perfusion SPECT images
    Sakaguchi, Kenta
    Kaida, Hayato
    Yoshida, Shuhei
    Ishii, Kazunari
    [J]. ANNALS OF NUCLEAR MEDICINE, 2021, 35 (05) : 589 - 599