Local motion analysis in 4D lung CT using fast groupwise registration

  • Authors:
  • D. Bystrov;T. Vik;H. Schulz;T. Klinder;S. Schmidt

  • Affiliations:
  • Philips Research, Hamburg, Germany;Philips Research, Hamburg, Germany;Philips Research, Hamburg, Germany;Philips Research, Hamburg, Germany;Heidelberg University, Germany

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

Automatic tools for the propagation of contours and surfaces in time series of CT images (4DCT) are necessary e.g. for dose calculation in radio-therapy-planning. The state of the art method is the registration of 3-D frames of the sequence on a static reference volume or the registration of consecutive volume pairs. Based on the computed vector fields, the contours and surfaces are then propagated through the entire 4-D series. However, the registrations frequently suffer from common image or gating artefacts in the time series. To overcome the problem, we propose a groupwise 4-D registration approach combined with a motion model to perform the registration of a sequence of images.