Three-dimensional reconstruction of liver from 2-D tomographic slices

Jin Shin Chou*, Chin Tu Chen, Maryellen L. Giger, Charles E. Kahn, Kyongtae T. Bae, Wei Chung Lin

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Visualization of liver image data in three dimensions (3-D) can reveal new information to aid physicians in volume calculation and surgical planning. Liver image data are first extracted from a series of 2-D cross-sectional abdominal images by using an automated segmentation technique. An interpolation technique is then applied to construct a 3-D liver image data set having the same spatial resolution in all three directions. This 3-D liver image data set is used as an input in surface rendering and volume rendering to generate two sets of 3-D liver displays. We have applied our methods to clinical liver images obtained from cases of a living-donor liver transplant program.

Original languageEnglish (US)
Pages (from-to)45-50
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Jan 1 1991
EventApplications of Optical Engineering: Proceedings of OE/Midwest '90 - Rosemont, IL, USA
Duration: Sep 27 1990Sep 28 1990

ASJC Scopus subject areas

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


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