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
Related Projects
Sponsors
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
