Ray-Tracing Based Registration for HRCT Images of the Lungs

  • Sata Busayarat
  • Tatjana Zrimec
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)


Image registration is a fundamental problem in medical imaging. It is especially challenging in lung images compared, for example, with the brain. The challenges include large anatomical variations of human lung and a lack of fixed landmarks inside the lung. This paper presents a new method for lung HRCT image registration. It employs a landmark-based global transformation and a novel ray-tracing-based lung surface registration. The proposed surface registration method has two desirable properties: 1) it is fully reversible, and 2) it ensures that the registered lung will be inside the target lung. We evaluated the registration performance by applying it to lung regions mapping. Tested on 46 scans, the registered regions were 89% accurate compared with the ground-truth.


Image Registration Registration Method Lung Region Lung Model Lung Surface 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sata Busayarat
    • 1
  • Tatjana Zrimec
    • 1
    • 2
  1. 1.School of Computer Science and EngineeringUniversity of New South WalesSydneyAustralia
  2. 2.Centre for Health InformaticsUniversity of New South WalesSydneyAustralia

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