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Published January 2019 | Version v1
Journal article

Automated Robust Proton Planning Using Dose-Volume Histogram-Based Mimicking of the Photon Reference Dose and Reducing Organ at Risk Dose Optimization

  • 1. University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, the (Netherlands)
  • 2. RaySearch Laboratories AB, Stockholm (Sweden)

Description

Patient selection for proton therapy is increasingly based on proton to photon plan comparisons. To improve efficient decision making, we developed a dose mimicking and reducing (DMR) algorithm to automatically generate a robust proton plan from a reference photon dose, as well as target and organ at risk (OAR) delineations.

Additional details

Identifiers

DOI
10.1016/j.ijrobp.2018.08.023;
PII
S0360301618335697;

Publishing Information

Journal Title
International Journal of Radiation Oncology, Biology and Physics
Journal Volume
103
Journal Issue
1
Journal Page Range
p. 251-258
ISSN
0360-3016
CODEN
IOBPD3

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55057299
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ALGORITHMS; DECISION MAKING; HEALTH HAZARDS; NMR SPECTRA; OPTIMIZATION; ORGANS; PATIENTS; PLANNING; PROTON BEAMS; RADIATION DOSES; RADIOTHERAPY
Descriptors DEC
BEAMS; BODY; DOSES; HAZARDS; MATHEMATICAL LOGIC; MEDICINE; NUCLEAR MEDICINE; NUCLEON BEAMS; PARTICLE BEAMS; RADIOLOGY; SPECTRA; THERAPY

Optional Information

Copyright
Copyright (c) 2018 Elsevier Inc. All rights reserved.