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 article

1 Citation (Scopus)

Abstract

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
Volume3660
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

Fingerprint

Micro-CT
CT Image
Complex networks
Information retrieval
Structural analysis
Mathematical operators
3D Image
Scanner
Data storage equipment
scanners
Structural Analysis
information retrieval
Digital Image
Complex Networks
Information Retrieval
Execution Time
Extremes
High Resolution
structural analysis
retrieval

All Science Journal Classification (ASJC) codes

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

Cite this

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abstract = "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.",
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Extraction and analysis of large vascular networks in 3D micro-CT images. / Wan, Shu Yen; Ritman, Erik L.; Higgins, William Evan.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 3660, 01.01.1999, p. 322-334.

Research output: Contribution to journalConference article

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