Still-camera multiview Spectral Optical Flow Imaging for 3D operating-deflection-shape identification

2021 ◽  
Vol 152 ◽  
pp. 107456
Author(s):  
Domen Gorjup ◽  
Janko Slavič ◽  
Aleš Babnik ◽  
Miha Boltežar
Keyword(s):  
Optical Flow ◽  
Flow Imaging ◽  
Shape Identification

Supercontinuum laser illumination applied to traditional optical flow imaging methods

2007 ◽  
Vol 273 (1) ◽  
pp. 252-255 ◽  
Author(s):  
Matthew E. Staymates ◽  
Gary S. Settles ◽  
Kebin Shi ◽  
Zhiwen Liu
Keyword(s):  
Optical Flow ◽  
Flow Imaging ◽  
Imaging Methods ◽  
Laser Illumination ◽  
Supercontinuum Laser

Application of double-layered skin phantoms for optical flow imaging during laser tattoo treatments

2016 ◽  
Vol 68 (9) ◽  
pp. 1137-1141 ◽  
Author(s):  
Byeong-il Lee ◽  
Woosub Song ◽  
Hyejin Kim ◽  
Hyun Wook Kang
Keyword(s):  
Optical Flow ◽  
Flow Imaging

Motion correction in PET/CT

2005 ◽  
Vol 44 (S 01) ◽  
pp. S46-S50 ◽  
Author(s):  
M. Dawood ◽  
N. Lang ◽  
F. Büther ◽  
M. Schäfers ◽  
O. Schober ◽  
...  
Keyword(s):  
Optical Flow ◽  
Motion Correction ◽  
Motion Vector ◽  
Emission Tomography ◽  
Cardiac Pet ◽  
Novel Approach ◽  
Positron Emission ◽  
Pet Ct ◽  
Flow Algorithm ◽  
Motion Vector Field

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.

Plaqueimaging der Carotis interna – Korrelation von B-Flow imaging und Histologie

2006 ◽  
Vol 178 (S 1) ◽  
Author(s):  
M Reiter ◽  
R Horvat ◽  
S Puchner ◽  
W Rinner ◽  
P Polterauer ◽  
...  
Keyword(s):  
Flow Imaging
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