Automatic generation of consistent, anatomically relevant reformats.

Deep learning based post-processing application

• Deep learning algorithm for automatic labeling of vertebral bodies and disc spaces with >90% labeling accuracy
  
  
• Deep learning algorithm for axial oblique images optimized for orientation through vertebral disc spaces with >90% accuracy
  
  
• Automatic generation of curved reformats to display the full spine in aligned coronal/sagittal planes
  
  
• Based on protocol settings, up to 6 series are automatically created with labels, annotations, and directly transferred to predefined DICOM destinations