Research Expertise

Key Expertise of CAI²R

Artificial Intelligence
  • Deep learning for MRI reconstruction
  • Machine learning for image classification
  • Deep learning for CT dose reduction
  • AI for radiology clinic operations
Rapid image acquisition and advanced image reconstruction
  • Compressed sensing
  • Parallel imaging
  • Rapid radial imaging
  • Parallel computing and rapid image reconstruction
Radiofrequency engineering, electrodynamics, and electromagnetic field interactions with tissue
  • Novel transmit and receive coil design for high-field MRI with previously inaccessible performance
  • Rigorous coil evaluation against absolute references
  • Characterization of electrodynamics limits of performance of MR transmit and receive coils
  • Electrodynamic calculations for coil design and safety assessment
  • Safety monitoring for RF emitting devices
  • Noninvasive measurements of the electrical properties of tissue and materials
Simultaneous MR and PET acquisition and joint/synergistic reconstruction
  • Motion correction
  • Attenuation correction
  • Compressed sensing
  • Joint physiological monitoring
  • Tailored coil design
  • Radiochemistry

More Information

 Daniel Sodickson's plenary talk from SPIE Medical Imaging 2015 gives an overview of CAI²R's expertise and activities  


Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
• The Big George Foundation
• Raymond and Beverly Sackler
• Bernard and Irene Schwartz

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