PET/MR Imaging

A technical and clinical primer for hybrid PET/MR imaging.

Course ID: Q00373 Category:
Modalities: , , ,

3.0

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$34.00

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This course has been approved for 3.0 Category A credits.
No discipline-specific Targeted CE credit is currently offered by this course.

Outline

  1. Introduction
  2. Instrumentation and Design of PET/MR Imaging
    1. Sequential
    2. Concurrent
  3. Potential Clinical Applications of PET/MR Imaging
    1. Oncologic Disease
    2. Neurologic Disease
    3. Cardiovascular Disease
    4. Musculoskeletal Disease
  4. PET/MR Image Segmentation and Global Disease Assessment
  5. Challenges Relevant to PET/MR Imaging
  6. Summary

Objectives

Upon completion of this course, students will:

  1. identify the different methods through which PET/MR imaging can be performed
  2. identify body regions where motion may interfere with PET/MR imaging
  3. understand the various image registration methods that are available for PET/MR imaging
  4. recognize the most straightforward approach to the design of a PET/MR imaging system
  5. identify the factors that directly affect the spatial resolution of PET imaging
  6. recognize the physical limitations of combining PET and MR imaging systems
  7. understand the use of avalanche photodiodes in a combined PET/MR imaging system
  8. identify the disadvantage of a PET/MR system that uses a split-field magnet system
  9. recognize the crystals that are used by avalanche photodiodes in a PET/MR system
  10. understand the limitations of avalanche photodiodes that prevent time-of-flight technology
  11. understand the impact on image quality from adding PET detectors to an MR system
  12. recognize the benefits of full integration of MR system components in a PET/MR system
  13. identify the beneficial physical characteristics of silicon photomultiplier tubes
  14. identify the beneficial performance characteristics of silicon photomultiplier tubes
  15. understand the trend towards digital readout of PET data and signals
  16. recognize the necessary capabilities of optimal PET detectors
  17. identify the current hybrid imaging systems capable of concurrent, simultaneous imaging
  18. name the attenuation map created from transmission source, CT or MR imaging
  19. identify the imaging systems that use a rod or point source to create transmission images
  20. understand the process for MR imaging-guided motion correction of PET data
  21. differentiate between common image acquisition times for different disease processes
  22. identify the body regions where MR is superior to CT for evaluating oncologic disease
  23. identify the body regions where CT is superior to MR for evaluating oncologic disease
  24. understand the advanced MR imaging techniques available for comparison with PET
  25. recognize the benefit of combining PET/CT and MR imaging when evaluating lung cancer
  26. understand the need for accurate alignment of structural and functional information
  27. identify the MR technique capable of exquisite detail of the white matter bundles in the brain
  28. understand the pitfalls of fractional anisotropic images computed from diffusion-tensor imaging
  29. learn the imaging techniques capable of studying the effects of drug usage and withdrawal
  30. understand the positive impact of gated MR imaging on PET quantification
  31. know which PET radiotracers are FDA-approved
  32. know which PET radiotracers are used for evaluation of blood flow
  33. recognize the MR imaging techniques capable of attenuation correction information
  34. identify the tissue types that can be distinguished by the Dixon sequence
  35. indicate the organization responsible for establishing limits for exposure to magnetic fields
  36. understand the superiority of automated image segmentation over manual segmentation
  37. understand the capabilities of MR elastography
  38. identify the advances in PET/MR that improve structural delineation and functional MR capabilities
  39. identify the optimal pathway for PET/MR education and training
  40. indicate the number of image data sets generated by PET/CT imaging