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Nothing Compares 2 U: An Exploration of Segmentation Metrics for Radiation Therapy

Course Details

MDCB Credits: 1.00

ARRT Credits: 1.00

Available Until: 8/5/2021

Non-Member Price: $35.00

Member Price: $20.00

Member PLUS Price: $20.00

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Presented by Yasmin McQuinlan, BRT
Research Dosimetrist
Mirada Medical

Registration is Free. (See registration instructions below.)
Sponsored by Mirada Medical

Evaluating contours for planning is an important task, one that has a wider impact in dosimetry. Whether it be for evaluation of a new technique, guideline change, research or product evaluation. This presentation will improve dosimetrists understanding of how to evaluate Manual and Auto-contours or any combination thereof.

Learner Outcomes: 

  1. Explain the importance of contour evaluation
  2. Apply metrics such as Dice Similarity Coefficient; Hausdorff Distance; Surface DSC; Added Path Length
  3. Discuss clinical meaningfulness of metrics

Educational Level: Entry Level

Yasmin McQuinlan, BRT, is trained as both a dosimetrist and a radiotherapist from New Zealand. She worked clinically in New Zealand and the United Kingdom, in both the public and private sectors.

Yasmin became more interested in research and how the technology can be better integrated into the clinic for the benefit of clinicians and patients. While living in London, she was a Research Radiotherapist at DeepMind for Google, working on AI auto segmentation for Head and Neck cancer patients. Yasmin is now a Research Dosimetrist at Mirada Medical, Oxford, UK. She is contributing to the development and improvement of deep learning auto segmentation. She also retains a position at Guys' and St Thomas' NHS Hospital in London as a Research Dosimetrist, driving a research collaboration as a part of the London Medical Imaging & AI Centre for Value-Based Healthcare Consortium.


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