Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal

Keyphrases

• Diffusion Tensor Imaging 100%
• Artifact Removal 100%
• Multi-slice 100%
• Number of Parameters 66%
• Input Type 66%
• Artificial Intelligence 33%
• Deep Learning Methods 33%
• 3D Model 33%
• Spatial Data 33%
• Deep Learning 33%
• 2D to 3D 33%
• Complex Image 33%
• Cardiac Imaging 33%
• Scan Time 33%
• Phase Component 33%
• Multiple Input 33%
• Research Environment 33%
• Model Making 33%
• Architectural Properties 33%
• Acceleration Factor 33%
• Advanced 3D 33%
• Magnitude Image 33%
• Imaging Acceleration 33%
• Cardiac Microstructure 33%
• Small Combination of Slices 33%
• Fast Pace 33%
• Cardiac Diffusion Tensor Imaging 33%
• Simultaneous multislice Acceleration 33%

Engineering

• Dimensionality 100%
• Deep Learning Method 100%
• Acquired Data 50%
• Input Multiple 50%
• Complex Image 50%
• Phase Component 50%
• Spatial Information 50%
• Acceleration Factor 50%
• Artificial Intelligence 50%

Computer Science

• Diffusion Tensor 100%
• Deep Learning Method 66%
• Research Environment 33%
• Spatial Information 33%
• Phase Component 33%
• Artificial Intelligence 33%