Advances in Computed Tomography (CT) to Enhance Radiation Therapy Planning

Originally Aired: June 7, 2017

CME/CE is not available for this on-demand webcast. This webinar is supported by an educational grant from Philips Healthcare

Statement of Purpose
CT simulation is the current standard of care for radiation therapy treatment planning due to its excellent geometric fidelity and relationship to material density required for dose calculation. However, image artifacts may be detrimental to treatment planning accuracy. This talk will describe the state of the art of CT artifact reduction, particularly for metal artifacts, and potential impacts on radiation therapy planning. Furthermore, as we image more frequently for adaptive planning purposes and adhere to as low as reasonably achievable (ALARA) principles, dose reduction and image optimization without information loss is essential. Concepts such as incorporating advanced CT reconstruction algorithms such as iterative and model-based reconstruction will be discussed. The impact of using these algorithms in the context of Radiation Therapy will be described. Finally, consideration will be given to emerging CT applications on the horizon.

Learning Objectives
Upon completion of this activity, particpants will be able to:

  • Review causes of CT image artifacts and potential impacts on treatment planning.
  • Explain the state of the art for metal artifact reduction technologies in CT and their potential impact on clinical treatment planning.
  • Define typical CT doses in the context of radiation therapy.
  • Discuss existing CT technologies to lower dose in image acquisition and examine the potential clinical impact in radiation oncology.
  • Describe emerging CT applications under development and use in radiation oncology.

Intended Audience:
This activity is intended for radiation oncologists, medical physicists, dosimetrists, and all staff involved in imaging used for oncology treatment planning and simulation.
Carri K. Glide-Hurst, Ph.D., DABR
Director of Translational Research
Henry Ford Health System
View Biography

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