Organ dose prediction for patients undergoing radiotherapy CBCT chest examinations using artificial intelligence.

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: 38320358

Abstract

PURPOSE: To propose an artificial intelligence (AI)-based method for personalized and real-time dosimetry for chest CBCT acquisitions.

Authors

Fereniki Tsironi

Department of Medical Physics, University Hospital of Crete, Iraklion, 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.
Varvara Sotiropoulou

Department of Medical Physics, University Hospital of Crete, Iraklion, Greece.
John Damilakis

Department of Medical Physics, Faculty of Medicine, University of Crete, Greece.

Keywords

Artificial Intelligence Cone-Beam Computed Tomography Humans Monte Carlo Method Phantoms, Imaging Radiation Dosage Radiometry Radiotherapy Dosage Spiral Cone-Beam Computed Tomography

External Resources

View on PubMed Access via DOI PubMed (38320358)

Organ dose prediction for patients undergoing radiotherapy CBCT chest examinations using artificial intelligence.

Abstract

Authors

Keywords

External Resources

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