Development of a Dedicated Radiotherapy Unit with Real-Time Image Guidance and Motion Management for Accelerated Partial Breast Irradiation

Abstract

The purpose of this study is to develop a dedicated image-guided external-beam radiotherapy system for accelerated partial breast irradiation (APBI). We have made significant progress in the past year for this grant focusing on building each sub-system of the proposed apparatus - Aim 1 for the x-ray generator, Aim 2 for the imaging sub system and Aim 3 for the treatment planning. For Aim 1 we are concentrating on analyzing the shielding cost and imaging quality for different energies using Monte Carlo simulations. These results are critical to our final decision on the x-ray source. The panoramic CBCT technology is the heart of the imaging sub system as it reduces the hardware and construction cost. To these ends, we have spent a significant amount of resources on image stitching algorithms and developed parallel processing schemes using GPU for speeding up CBCT reconstructions. Treatment planning is also critical to a successful radiotherapy system. Because the design of the proposed APBI machine is different from conventional linear accelerator, a new treatment planning system (TPS) is being built using the Clarkson and pencil beam convolution methods. An inverse planning algorithm has also been developed using a generic algorithm that takes advantages of the novel irradiation geometries of the proposed ABPI apparatus.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2012
Accession Number
ADA601791

Entities

People

  • K. S. Chao

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Cell Physiological Processes
  • Computer Programming
  • Detectors
  • Diagnostic Imaging
  • Health Services
  • Medical Personnel
  • Operating Systems
  • Parallel Computing
  • Radiation Oncology
  • Radiography
  • Radiosurgery
  • Radiotherapy
  • Three Dimensional
  • Two Dimensional
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Computer Vision.
  • Oncology (Cancer Research).
  • Parallel and Distributed Computing.