Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction for High-Quality Segmentation

Keyphrases

• Deep Learning Methods 100%
• Motion Artifact 100%
• Quality Segmentation 100%
• Cardiac MR 100%
• Image Artifacts 66%
• Artifact Correction 66%
• Artifact Detection 66%
• Image Acquisition 33%
• Magnetic Resonance Imaging 33%
• Detection Method 33%
• Image Quality 33%
• K-space 33%
• Reconstructed Image 33%
• Medical Image Analysis 33%
• Image Segmentation 33%
• Medical Image 33%
• Segmentation Accuracy 33%
• Anatomical Structure 33%
• Clinical Image 33%
• K-Space Data 33%
• Reconstruction Method 33%
• Reconstruction Network 33%
• Cardiac MRI Segmentation 33%
• Image Reconstruction 33%
• Image Motion 33%
• Cine-MR 33%
• Image Correction 33%
• Data Consistency 33%
• Cardiac Cavity 33%
• UK Biobank Data 33%
• Undersampling 33%
• Reconstruction Problem 33%
• Joint Loss Function 33%
• Organ Motion 33%
• Segmentation Network 33%
• Synthetic Motion 33%
• Artefact Reconstruction 33%

Computer Science

• Image Artifact 100%
• Deep Learning Method 100%
• Image Quality 50%
• Network Segmentation 50%
• Image Analysis 50%
• Image Segmentation 50%
• segmentation accuracy 50%
• Reconstructed Image 50%
• Image Acquisition 50%
• Data Consistency 50%
• Image Reconstruction 50%

Engineering

• Motion Artifact 100%
• Deep Learning Method 100%
• Joints (Structural Components) 66%
• Medical Image 66%
• Loss Function 33%
• Image Analysis 33%
• Space Data 33%
• Sampled Image 33%
• Image Reconstruction 33%
• Reconstructed Image 33%
• Image Motion 33%