Is deep learning-enabled real-time personalized CT dosimetry feasible using only patient images as input?

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PMID: 38810391

Abstract

PURPOSE: To propose a novel deep-learning based dosimetry method that allows quick and accurate estimation of organ doses for individual patients, using only their computed tomography (CT) images as input.

Authors

  • Theocharis Berris
    Department of Medical Physics, School of Medicine, University of Crete, P.O. Box 2208, 71003 Iraklion, Crete, Greece.
  • Marios Myronakis
    Department of Medical Physics, School of Medicine, University of Crete, Iraklion, Greece.
  • John Stratakis
    Medical Physics Department, School of Medicine, University of Crete, Heraklion, Greece.
  • Kostas Perisinakis
    Department of Medical Physics, School of Medicine, University of Crete, P.O. Box 2208, 71003 Iraklion, Crete, Greece.
  • Apostolos Karantanas
    Department of Radiology, School of Medicine, University of Crete, P.O. Box 2208, 71003 Iraklion, Crete, Greece.
  • John Damilakis
    Department of Medical Physics, Faculty of Medicine, University of Crete, Greece.

Keywords

External Resources

Popular Topics
Recent Journals