Extraction and analysis of large vascular networks in 3D micro-CT images

Shu Yen Wan, Erik L. Ritman, William Evan Higgins

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


High-resolution micro-CT scanners permit the generation of three-dimensional (3D) digital images containing extensive vascular networks. These images provide data needed to study the overall structure and function of such complex networks. Unfortunately, human operators have extreme difficulty in extracting the hundreds of vascular segments contained in the images. Also, no suitable network representation exists that permits straightforward structural analysis and information retrieval. This work proposes an automatic procedure for extracting and analyzing the vascular network contained in very large 3D CT images, such as can be generated by 3D micro-CT and by helical CT scanners. The procedure is efficient in terms of both execution time and memory usage. As results demonstrate, the procedure faithfully follows human-defined measurements and provides far more information than can be defined interactively.

Original languageEnglish (US)
Pages (from-to)322-334
Number of pages13
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Jan 1 1999
EventProceedings of the 1999 Medical Imaging - Physiology and Function from Multidimensional Images - San Diego, CA, USA
Duration: Feb 21 1999Feb 23 1999

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Extraction and analysis of large vascular networks in 3D micro-CT images'. Together they form a unique fingerprint.

Cite this