Coordinate difference homogenization matching method for motion correction in 3D range-intensity correlation laser imaging

2017 ◽  
Vol 15 (10) ◽  
pp. 102802 ◽  
Author(s):  
Liang Sun Liang Sun ◽  
Xinwei Wang Xinwei Wang ◽  
Pengdao Ren Pengdao Ren ◽  
Pingshun Lei Pingshun Lei ◽  
Songtao Fan Songtao Fan ◽  
...  
2015 ◽  
Vol 13 (7) ◽  
pp. 071102-71105
Author(s):  
Xiaoquan Liu Xiaoquan Liu ◽  
Xinwei Wang Xinwei Wang ◽  
Yinan Cao Yinan Cao ◽  
Songtao Fan Songtao Fan ◽  
Yan Zhou Yan Zhou ◽  
...  

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S622-S622
Author(s):  
Hans R Herzog ◽  
Lutz Tellmann ◽  
Roger Fulton ◽  
Isabelle Stangier ◽  
Elena Rota Kops ◽  
...  
Keyword(s):  

1985 ◽  
Vol 46 (C4) ◽  
pp. C4-321-C4-329 ◽  
Author(s):  
E. Molinari ◽  
G. B. Bachelet ◽  
M. Altarelli

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.


Author(s):  
J Scheins ◽  
CR Brambilla ◽  
J Mauler ◽  
E Rota kops ◽  
L Tellmann ◽  
...  
Keyword(s):  

2007 ◽  
Vol 127 (4) ◽  
pp. 573-580 ◽  
Author(s):  
Toshiyuki Sawa ◽  
Yuji Nakata ◽  
Mitsuo Tsurugai ◽  
Shigenari Sugiyama

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