Key Research Expertise

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

Biophysical modeling of diffusion and MR relaxation in complex tissue geometries

  • Monte Carlo simulations in realistic cellular geometries for model validation
  • Construction of phantoms for precise MRI measurements of diffusion and for model validation
  • Optimization of clinical MRI acquisitions for parameter estimation of biophysical models
  • Random matrix theory-based noise mapping, denoising and image reconstruction
  • Clinical translation of tissue microstructure parameter mapping

More Information

Below, a lecture about the latest technological advances in biomedical imaging given by Dr. Sodickson as a Radiology Grand Rounds seminar at Stanford University in December 2018.
 

 
Duration: 55 minutes. Source: Stanford University Radiology Grand Rounds .


Below, Dr. Sodickson's plenary talk from SPIE Medical Imaging 2015 gives an overview of CAI²R's expertise and activities.  
 

Sponsors

Latest Updates

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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