A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup

Guang Li, Huchen Xie, Holly Ning, Deborah Citrin, Jacek Capala, Jason Cheng, Barbara C. Arora, C. Norman Coleman, Kevin Camphausen, Robert W. Miller

Research output: Contribution to journalArticlepeer-review

Abstract

As rigid image registration becomes unreliable in the presence of involuntary organ motion, we present a novel approach to register CT images using stable bony landmarks for image-guided patient setup. Using 3D Volumetric Image Registration (3DVIR) technique, bony anatomy is volumetrically-classified as registration landmark, while soft tissues are ignored. Based on 4DCT, it was found that the spine, posterior ribs and clavicles do not move with respiration and remain registered throughout the breathing cycle. However, mutual information based registration produces an error of 1-2 mm due to moving soft tissues. It is suggested that the 3DVIR can improve image-guided setup.

Original languageEnglish (US)
Pages (from-to)259-273
Number of pages15
JournalInternational Journal of Biomedical Engineering and Technology
Volume8
Issue number2-3
DOIs
StatePublished - 2012

Keywords

  • 3D volumetric image registration
  • 3DVIR
  • 4DCT registration
  • IGRT
  • Image-guided patient setup
  • Image-guided radiation therapy

ASJC Scopus subject areas

  • Biomedical Engineering

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