Automated Patient Positioning Guided by Cone-Beam CT for Prostate Radiotherapy

Abstract

Modern radiotherapy equipment is capable of delivering high precision conformal dose distributions to the target. However the target localization especially for soft-tissue target such as prostate is an issue because of its possible non-rigid internal motion relative to bony structures or external landmarks. Recently a new technology of kV cone-beam CT (CBCT) has been integrated onboard with the linear accelerator. The prostate target localization could be potentially done more accurately with the aid of the on-board CBCT imager. In this project the PI group developed a novel technique of automatic patient positioning for prostate cancer radiation therapy. A few important milestones have been achieved toward the goal of the project. These include: (i) Established a novel technique to enhance on-board cone-beam CT and to effectively reduce the radiation dose incurred in the scanning process; (ii) Developed a robust registration model with improved metric function; (iii) Developed an innovative narrow shell technique for better target localization and model the critical structure; (iv) Established the method for auto-propagation of contours from planning CT to CBCT based on feature based spline deformable registration. With more evaluations the automatic patient positioning technique and relevant research outcomes will soon be part of routine practice at Stanford University Hospital. The data and experiences we accumulated in this project are well documented and server as a good reference for effectively utilizing CBCT imager and will definitely enhance the outlook of the onboard CBCT in guiding radiation therapy as a whole.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA487020

Entities

People

  • Ming Chao

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Detectors
  • Diagnostic Imaging
  • Electronic Mail
  • Image Processing
  • Information Processing
  • Linear Accelerators
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Prostate Cancer
  • Radiation Oncology
  • Radiography
  • Radiotherapy
  • Three Dimensional
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Computer Vision.
  • Medical Imaging.