Genetic Algorithms for optimal intermittent measurements for tumor tracking

Aspeel, Antoine;Legay, Axel;Macq, BenoƮt;et.al.
(2019) , 2 pages

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Authors
  • Aspeel, Antoineorcid-logoUCLouvain
    Author
  • Legay, AxelUCLouvain
    Author
  • Macq, BenoĆ®torcid-logoUCLouvain
    Author
  • et. al.
Abstract
A classical approach for tumor tracking is to acquire X-ray images to track the tumor. Unfortunately, X-ray imaging irradiates the patient. For now, these images are acquired at constant rate. In this paper, we inspect optimal variable rate imaging.
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Aspeel, A., Legay, A., Macq, B., & et al. (2019). Genetic Algorithms for optimal intermittent measurements for tumor tracking. https://hdl.handle.net/2078.5/170329