Dynamic cardiac PET motion correction using 3D normalized gradient fields in patients and phantom simulations

2021 ◽  
Author(s):  
Jonathon A. Nye ◽  
Marina Piccinelli ◽  
Doyeon Hwang ◽  
C David Cooke ◽  
Jin Chul Paeng ◽  
...  
2018 ◽  
Vol 27 (6) ◽  
pp. 1982-1998 ◽  
Author(s):  
Benjamin C. Lee ◽  
Jonathan B. Moody ◽  
Alexis Poitrasson-Rivière ◽  
Amanda C. Melvin ◽  
Richard L. Weinberg ◽  
...  

2014 ◽  
Vol 38 (3) ◽  
pp. 202-210 ◽  
Author(s):  
Erlend Hodneland ◽  
Arvid Lundervold ◽  
Jarle Rørvik ◽  
Antonella Z. Munthe-Kaas

2005 ◽  
Vol 44 (S 01) ◽  
pp. S46-S50 ◽  
Author(s):  
M. Dawood ◽  
N. Lang ◽  
F. Büther ◽  
M. Schäfers ◽  
O. Schober ◽  
...  

Summary:Motion in PET/CT leads to artifacts in the reconstructed PET images due to the different acquisition times of positron emission tomography and computed tomography. The effect of motion on cardiac PET/CT images is evaluated in this study and a novel approach for motion correction based on optical flow methods is outlined. The Lukas-Kanade optical flow algorithm is used to calculate the motion vector field on both simulated phantom data as well as measured human PET data. The motion of the myocardium is corrected by non-linear registration techniques and results are compared to uncorrected images.


2017 ◽  
Vol 44 (12) ◽  
pp. e430-e445 ◽  
Author(s):  
Ashley Gillman ◽  
Jye Smith ◽  
Paul Thomas ◽  
Stephen Rose ◽  
Nicholas Dowson

Author(s):  
Lars Ruthotto ◽  
Fabian Gigengack ◽  
Martin Burger ◽  
Carsten H. Wolters ◽  
Xiaoyi Jiang ◽  
...  

2012 ◽  
Vol 31 (3) ◽  
pp. 698-712 ◽  
Author(s):  
F. Gigengack ◽  
L. Ruthotto ◽  
M. Burger ◽  
C. H. Wolters ◽  
Xiaoyi Jiang ◽  
...  

Author(s):  
F Gigengack ◽  
L Ruthotto ◽  
M Burger ◽  
C H Wolters ◽  
X Jiang ◽  
...  

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