SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images

  title={SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images},
  author={Martin Urschler and Joachim Bauer and Hendrik Ditt and Horst Bischof},
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which has to be taken into account for further analysis. Intensity based nonlinear registration is often used to align differing images, however this requires a large computational effort, is sensitive to intensity variations and has problems with matching small structures. In this work a feature-based image registration… CONTINUE READING
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