Quantitative 3-d imaging, segmentation and feature extraction of the respiratory system in small mammals for computational biophysics simulations

Lynn Trease, Harold Trease, John Fowler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the critical steps toward performing computational biology simulations, using boundary-fitted / volume filling mesh based integration methods, is having available topologically faithful feature geometry derived from experimental digital image data as the basis for generating the computational meshes. Digital image data representations contain both the topology of the geometric features and experimental field-data distributions, they just have to be teased out using image processing tools. The geometric features that need to be captured from the digital image data are complex and three-dimensional. Therefore, the process and tools we have developed to perform feature extraction work as volumetric image data represented as data-cubes, these data-cubes are formed from stacks of 2-D images. This allows us to take advantage of curvature information, of 2-D surfaces in 3-D space, during the segmentation and feature extraction process. The process is basically: 1) segmenting to isolate and enhance the contrast of the features that we wish to extract and reconstruct, 2) extracting the geometry of the features using an isosurfacing technique, and 3) building the computational mesh from the extracted feature geometry. "Quantitative" image reconstruction and feature extraction is done for the purpose of generating computational meshes, not just for producing graphics "screen" quality images. For example, the surface geometry that we extract must from a closed water-tight surface.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
Pages335-340
Number of pages6
StatePublished - Dec 1 2006
Externally publishedYes
Event8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 - Honolulu, HI, United States
Duration: Aug 14 2006Aug 16 2006

Publication series

NameProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006

Other

Other8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006
CountryUnited States
CityHonolulu, HI
Period8/14/068/16/06

Keywords

  • Feature extraction
  • Image reconstruction
  • Image segmentation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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