Universiteit Leiden

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PhD defence

Deep Learning for Online Adaptive Radiotherapy

  • M.S.E. Elmahdy
Date
Tuesday 15 March 2022
Time
Location
Academy Building
Rapenburg 73
2311 GJ Leiden

Supervisor(s)

  • Prof. U.A. van der Heide
  • Prof. B.P.F. Lelieveldt

Summary:

Adapting a radiotherapy treatment plan to the daily anatomy is a crucial task to ensure adequate irradiation of the target without unnecessary exposure of healthy tissue. This adaptation can be performed by automatically generating contours of the daily anatomy together with fast re-optimization of the treatment plan. These measures can compensate for the daily variation and ensure the delivery of the prescribed dose distribution at small margins and high robustness settings. In this thesis, we focused on developing a deep learning-based methodology for automatic contouring for real-time adaptive radiotherapy either guided by CT or MR imaging modalities.

PhD dissertations

PhD dissertations by Leiden PhD students are available digitally after the defence through the Leiden Repository, that offers free access to these PhD dissertations. Please note that in some cases a dissertation may be under embargo temporarily and access to its full-text version will only be granted later.

Press enquiries (journalists only)

pers@lumc.nl

General information

Beadle's Office
pedel@bb.leidenuniv.nl
+31 71 527 7211

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