Many dimensions of optical flow diagnostics

1993 ◽  
Author(s):  
Klaus D. Hinsch
Keyword(s):  
Optical Flow ◽  
Flow Diagnostics

Optical flow method for neutron radiography flow diagnostics

2021 ◽  
Vol 33 (10) ◽  
pp. 101702
Author(s):  
Tianshu Liu ◽  
Robert Zboray ◽  
Pavel Trtik ◽  
Lian-Ping Wang
Keyword(s):  
Optical Flow ◽  
Neutron Radiography ◽  
Flow Diagnostics ◽  
Flow Method ◽  
Optical Flow Method

scholarly journals Preparation of optical flow diagnostics technique at JAXA 750kW arc-heated wind tunnel

2009 ◽  
Vol 29-1 (1) ◽  
pp. 201-201
Author(s):  
Masahito MIZUNO ◽  
Hiroki TAKAYANAG ◽  
Keisuke FUJII ◽  
Kazuhisa FUJITA
Keyword(s):  
Wind Tunnel ◽  
Optical Flow ◽  
Flow Diagnostics

scholarly journals Optical flow diagnostics for plasmas

1975 ◽  
Author(s):  
R. HILL ◽  
D. AESCHLIMAN ◽  
C. HACKETT
Keyword(s):  
Optical Flow ◽  
Flow Diagnostics

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.

Locating Method for Vehicle at Intersection Based on TPVM and Optical Flow

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Tao Chen ◽  
Linkun Fan ◽  
Xuchuan Li ◽  
Congshuai Guo ◽  
Miaomiao Qiao
Keyword(s):  
Optical Flow
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