scholarly journals A deep learning approach for 18F-FDG PET attenuation correction

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Fang Liu ◽  
Hyungseok Jang ◽  
Richard Kijowski ◽  
Gengyan Zhao ◽  
Tyler Bradshaw ◽  
...  
Keyword(s):  
Deep Learning ◽  
Attenuation Correction ◽  
Fdg Pet ◽  
Learning Approach ◽  
18F Fdg

scholarly journals Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Karim Armanious ◽  
Tobias Hepp ◽  
Thomas Küstner ◽  
Helmut Dittmann ◽  
Konstantin Nikolaou ◽  
...  
Keyword(s):  
Deep Learning ◽  
Attenuation Correction ◽  
Fdg Pet ◽  
Whole Body ◽  
Generative Adversarial Networks ◽  
Learning Approach ◽  
Adversarial Networks ◽  
18F Fdg

Comparison of liver SUV using unenhanced CT versus contrast-enhanced CT for attenuation correction in 18F-FDG PET/CT

2014 ◽  
Vol 35 (5) ◽  
pp. 472-477 ◽  
Author(s):  
Edwin E.G.W. ter Voert ◽  
Hanneke W.M. van Laarhoven ◽  
Peter J.M. Kok ◽  
Wim J.G. Oyen ◽  
Eric P. Visser ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet ◽  
Unenhanced Ct ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Pet Ct ◽  
Enhanced Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

scholarly journals Impact of CT attenuation correction on the viability pattern assessed by 99mTc-tetrofosmin SPECT/18F-FDG PET

2010 ◽  
Vol 27 (6) ◽  
pp. 913-921 ◽  
Author(s):  
Rene Nkoulou ◽  
Aju P. Pazhenkottil ◽  
Ronny R. Buechel ◽  
Lars Husmann ◽  
Ines Valenta ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet ◽  
99Mtc Tetrofosmin ◽  
Ct Attenuation ◽  
18F Fdg

Influence of OSEM and segmented attenuation correction in the calculation of standardised uptake values for [18F]FDG PET

2001 ◽  
Vol 28 (9) ◽  
pp. 1326-1335 ◽  
Author(s):  
D. Visvikis ◽  
C. Cheze-LeRest ◽  
D. Costa ◽  
J. Bomanji ◽  
S. Gacinovic ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet ◽  
18F Fdg ◽  
Segmented Attenuation Correction ◽  
Standardised Uptake Values

scholarly journals Classification of Myocardial 18F-FDG PET Uptake Patterns Using Deep Learning

2021 ◽  
pp. e200148
Author(s):  
Nicholas Josselyn ◽  
Matthew T. MacLean ◽  
Christopher Jean ◽  
Ben Fuchs ◽  
Brianna F. Moon ◽  
...  
Keyword(s):  
Deep Learning ◽  
Fdg Pet ◽  
18F Fdg

scholarly journals Multi-Atlas-Based Attenuation Correction for Brain 18F-FDG PET Imaging Using a Time-of-Flight PET/MR Scanner: Comparison with Clinical Single-Atlas- and CT-Based Attenuation Correction

2016 ◽  
Vol 57 (8) ◽  
pp. 1258-1264 ◽  
Author(s):  
T. Sekine ◽  
N. Burgos ◽  
G. Warnock ◽  
M. Huellner ◽  
A. Buck ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Pet Imaging ◽  
Fdg Pet ◽  
Time Of Flight ◽  
18F Fdg

The Additional Value of Attenuation Correction CT Acquired During 18F-FDG PET/CT in Differentiating Mature From Immature Teratomas

2014 ◽  
Vol 39 (3) ◽  
pp. e193-e196 ◽  
Author(s):  
Arthur Cho ◽  
Se-woong Kim ◽  
Jiyoun Choi ◽  
Wonjun Kang ◽  
Jong-doo Lee ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet ◽  
Pet Ct ◽  
18F Fdg ◽  
Additional Value ◽  
Fdg Pet Ct

scholarly journals Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction

PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0223141 ◽  
Author(s):  
Paul Blanc-Durand ◽  
Maya Khalife ◽  
Brian Sgard ◽  
Sandeep Kaushik ◽  
Marine Soret ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Attenuation Correction ◽  
Fdg Pet ◽  
Deep Convolutional Neural Network ◽  
18F Fdg
Sign in / Sign up

Export Citation Format

Share Document