Published January 2018 | Version v1
Journal article

Full Monte Carlo–Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit

  • 1. Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas (United States)
  • 2. Department of Computer Science and Information Engineering, National Taiwan University, Taipei (China)
  • 3. Department of Experimental Physics–Medical Physics, Ludwig-Maximilian University of Munich, Munich (Germany)

Description

One of the major benefits of carbon ion therapy is enhanced biological effectiveness at the Bragg peak region. For intensity modulated carbon ion therapy (IMCT), it is desirable to use Monte Carlo (MC) methods to compute the properties of each pencil beam spot for treatment planning, because of their accuracy in modeling physics processes and estimating biological effects. We previously developed goCMC, a graphics processing unit (GPU)-oriented MC engine for carbon ion therapy. The purpose of the present study was to build a biological treatment plan optimization system using goCMC.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ijrobp.2017.09.002

Additional details

Identifiers

DOI
10.1016/j.ijrobp.2017.09.002;
PII
S0360301617338488;

Publishing Information

Journal Title
International Journal of Radiation Oncology, Biology and Physics
Journal Volume
100
Journal Issue
1
Journal Page Range
p. 235-243
ISSN
0360-3016
CODEN
IOBPD3

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52123611
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ACCURACY; BIOLOGICAL EFFECTS; BRAGG CURVE; ION BEAMS; MONTE CARLO METHOD; OPTIMIZATION; PLANNING; RADIOTHERAPY
Descriptors DEC
BEAMS; CALCULATION METHODS; DIAGRAMS; INFORMATION; MEDICINE; NUCLEAR MEDICINE; RADIOLOGY; THERAPY

Optional Information

Copyright
Copyright (c) 2017 Elsevier Inc. All rights reserved.