Optimization of Breast Cancer Treatment by Dynamic Intensity Modulated Electron Radiotherapy

Abstract

Five specific projects were developed during the current work period: 1) The Photon Multi- Leaf Collimator was characterized for electron beams. This considered the difference in collimation between the x-direction (rounded leaf ends) and the y-direction (divergent leaf sides) . 2) The Monte Carlo code was parallelized for Utah Beowulf cluster. Twenty- five PCs were linked together to simultaneously calculate BEAM and DOSEXYZ. 3) The BEAM and DOSEXYZ modules were modified to calculate multiple beams in parallel and to display the does distributions 0 a dose phantom defined by Utah CT data. 4) Differences between measured and calculated dose profiles in the long axis of the MLC were resolved by a mathematical construct that modified the scattering foil segments by including a "flare" in each segment of the scattering foil. Failure of the unmodified MC code to predict the long axis profiles will be of interest to the whole community. 5) The transfer of CT data from the Utah CT to the Monte Carlo phantom was developed such that actual patient data can now be used directly in the Monte Carlo calculations. Simultaneously, multiple-angle, dual energy dose calculations were demonstrated on the Utah CT data sets. These items are significant, and keep us on track to finish the work in a timely manner.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2003
Accession Number
ADA423066

Entities

People

  • Dennis D. Leavitt

Organizations

  • University of Utah

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Gaps
  • Algorithms
  • Biomedical Research
  • Breast Cancer
  • Communities
  • Data Sets
  • Electron Beams
  • Electron Scattering
  • Electrons
  • Intensity
  • Measurement
  • Neoplasms
  • Optimization
  • Radiotherapy
  • Scattering
  • Therapy
  • Thorax

Fields of Study

  • Medicine
  • Physics

Readers

  • Computational Modeling and Simulation
  • Medical Imaging.
  • Parallel and Distributed Computing.

Technology Areas

  • Directed Energy
  • Microelectronics