MR Imaging Based Treatment Planning for Radiotherapy of Prostate Cancer

Abstract

This work is aimed at MRI-based treatment planning for radiation therapy. The tasks for the third year include (a) develop practical procedures for clinical implementation of MRI simulation; (b) develop guidelines for MRI-based treatment planning dose calculation, and (c) develop quality assurance programs for MRI simulation for prostate cancer treatment. We have developed a technique to create MR-based digitally reconstructed radiographs (DRR) for patient initial setup for clinical applications of MR-based treatment planning for prostate IMRT. The CT and MR images of twenty prostate patients were used for the study. The pelvic bony structures that are relevant for routine clinical patient setup were manually contoured on MRI. The contoured bony structures were assigned a bulk density of 2.0 g/cm3. The MRI based DRRs were generated. The accuracy of the MR based DDRs was quantitatively evaluated by comparing MR-based DRRs with CT-based DRRs for these patients. Our results showed that MR-based DRRs utilizing the outlines of relevant bony structures have an accuracy of about 3 mm, which is adequate for initial patient setup. This technique has been used, in combination with the BAT/in-room CT daily target localization techniques, for the clinical implementation of MRI-based treatment planning for prostate IMRT at FCCC.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2007
Accession Number
ADA468037

Entities

People

  • Lili Chen

Organizations

  • Fox Chase Cancer Center

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Coordinate Systems
  • Health Services
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Monte Carlo Method
  • Neoplasms
  • Prostate Cancer
  • Radiation
  • Radiation Oncology
  • Radiotherapy
  • Simulations
  • Therapy
  • Three Dimensional
  • Tissues
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Computational Modeling and Simulation
  • Medical Imaging.