Interactive skeletonization of intensity volumes

Sasakthi S. Abeysinghe, Tao Ju

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


We present an interactive approach for identifying skeletons (i.e. centerlines) in intensity volumes, such as those produced by biomedical imaging. While skeletons are very useful for a range of image analysis tasks, it is extremely difficult to obtain skeletons with correct connectivity and shape from noisy inputs using automatic skeletonization methods. In this paper we explore how easy-to-supply user inputs, such as simple mouse clicking and scribbling, can guide the creation of satisfactory skeletons. Our contributions include formulating the task of drawing 3D centerlines given 2D user inputs as a constrained optimization problem, solving this problem on a discrete graph using a shortest-path algorithm, building a graphical interface for interactive skeletonization and testing it on a range of biomedical data.

Original languageEnglish
Pages (from-to)627-635
Number of pages9
JournalVisual Computer
Issue number5-7
StatePublished - May 2009


  • Intensity volumes
  • Interactive
  • Skeletonization


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