Contour based respiratory motion analysis for free breathing CT

Justus Adamson, Tingliang Zhuang, Fang Fang Yin

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


We propose a method to quantify superior-inferior (SI) motion of a rigid target using the 3D contour from free-breathing CT (FBCT). The technique utilizes similarity between 2D contours (Jaccard Index) and a population based density function for probability of motion amplitude, and is applicable both when the static target shape is and is not known beforehand. Simulations and phantom measurements showed that motion reconstruction is often feasible, with decreasing accuracy as discrepancy is introduced between assumed and actual static shape. When no static shape is used the analysis is most robust for slow scanning speeds relative to the motion period.

Original languageEnglish (US)
Pages (from-to)908-915
Number of pages8
JournalComputers in Biology and Medicine
Issue number10
StatePublished - Oct 2011
Externally publishedYes


  • FBCT
  • Imaging artifacts
  • Motion management
  • Organ motion
  • Traveling salesman

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics


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