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Tomographic Imaging of Flow Processes
Peter Winkel Rasmussen
Visual Computing
Department of Applied Mathematics and Computer Science
Research output
:
Book/Report
›
Ph.D. thesis
145
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Dive into the research topics of 'Tomographic Imaging of Flow Processes'. Together they form a unique fingerprint.
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Engineering
Process Flow
100%
Signal-to-Noise Ratio
100%
Optimal Point
100%
Constrains
50%
Applicability
50%
Exposure Time
50%
Multiphase Flows
50%
Flow Cell
50%
Growth Phase
50%
Conventional Method
50%
Simulated Data
50%
Geothermal Energy
50%
Petroleum Industry
50%
Internal Structure
50%
Dynamic Nature
50%
Rock Deformation
50%
Ray Source
50%
Stopping Rule
50%
Carbon Steel
50%
Noise Level
50%
Tomographic Reconstruction
50%
Mathematics
Time Step
100%
reconstruction algorithm
100%
Noise Ratio
66%
Wide Range
33%
Stopping Rule
33%
Constrains
33%
Simulated Data
33%
Internal Structure
33%
Material Science
Tomography
100%
Signal-to-Noise Ratio
50%
Carbon Steel
25%
Multiphase Flow
25%
X-Ray Computed Tomography
25%
Keyphrases
Multiple Stopping Rules
33%
Earth and Planetary Sciences
X Ray Detector
20%