Prostate Dose Escalation by Innovative Inverse Planning-Driven IMRT

Abstract

The goal of this project is to develop innovative inverse treatment planning techniques for prostate radiation therapy. In the last funding period significant progress has been made toward the goal of the project. We have established the voxel-based dose optmization framework for lMRT treatment planning. Realizing that current radiation therapy does not adapt to inter-fraction organ movement and dosimetric errors caused by inaccurate patient setup or organ deformation during a course of treatment, we have devised a dynamic dosed-loop control algorithms for adaptive therapy (ART) inverse planning and demonstrate their utility with data from phantom and clinical prostate cases. The inverse planning for ART is particularly relevant considering that the emergence of on-board cone beam CT in the clinics, which affords an effective means to obtain the patient's geometric model just before treatment and recompute on a routine basis the dose to be delivered (or actually delivered) to the patient. Our work makes it possible to adaptively taking the organ deformations and dose delivery history into account. We anticipate that these tools will greatly facilitate the imaging, planning, delivery, and quality assurance of prostate lMRT.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA463247

Entities

People

  • Lei Xing

Organizations

  • Stanford University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Sensors

DTIC Thesaurus Topics

  • Computational Science
  • Control Systems
  • Detectors
  • Diagnostic Imaging
  • Health Services
  • Image Processing
  • Medical Personnel
  • Oncology
  • Radiation Oncology
  • Radiotherapy
  • Three Dimensional
  • Tomography
  • Two Dimensional
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Medical Imaging.
  • Systems Analysis and Design