X-ray vision meets machine learning
Jeff Fessler
UM IEEE Student Branch Presentation
2018-03-26
  1. Intro: me, goals
  2. Dental X-ray imaging system
  3. Dental X-rays: seeing the "invisible"
  4. Tomography
  5. X-ray CT scanner insides
  6. X-ray CT systems
  7. CT system rotating at max speed (video): why so fast?
  8. Radon transform / sinogram
  9. Image reconstruction
  10. Learned image reconstruction methods (appeared in Wikipedia 2018-03-06)
  11. Regularization
  12. Markov random fields (skip)
  13. x -> system -> y, Bayes rule, PWLS, optimization, ...
  14. Model-based image reconstruction for CT (example)
  15. UM news release about low-dose CT project
  16. Michigan Daily article about low-dose CT
  17. Another low-dose CT example
  18. Machine learning for X-ray CT image reconstruction
  19. Low dose CT image reconstruction with learned sparsifying transform
  20. PWLS-ULTRA: An efficient clustering and learning-based approach for low-dose 3D CT image reconstruction (skip)
  21. Future:
  22. Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks
  23. My group
  24. Fun MR images of fruit
  25. Fundamentals: 216, 351, 301, linear algebra, 281 or 402?, 551?
    Graduate level: 501, 516, 551, 545, 556