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Proceedings Paper

Integrated interactive system for three-dimensional segmentation and reconstruction from multiple modalities
Author(s): Peter Cahoon; Ellen Grant
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Paper Abstract

Accurate 3-dimensional segmentation and volume reconstruction of scanned data sets are the subjects of a great deal of ongoing computer science and medical research. The current trend is away from simple surface reconstruction and towards having both internal and external reconstructions of the structures of soft tissue, such as the grey and white matter of the brain. Being able accurately to threshold and segment structures such as these have additional benefits in that surface area and volume measurements can be obtained during the process of reconstruction. Measures such as these enable the tracking of physical properties, such as tumor size over the duration of the disease. The primitive for the representation of the interior of these objects is a tetrahedron. Tetrahedral geometries are readily convertible into finite element (FE) or computational fluid dynamic (CFD) meshes. The methodology and software modules are not proprietary and with a moderate amount of experience satisfactory results can be obtained. The key concepts are accurate multi-resolution thresholding, image editing capability, grid simplification for importing into the alpha-shape modeler, and accurate boundary classification.

Paper Details

Date Published: 7 April 1995
PDF: 11 pages
Proc. SPIE 2410, Visual Data Exploration and Analysis II, (7 April 1995); doi: 10.1117/12.205958
Show Author Affiliations
Peter Cahoon, Univ. of British Columbia (Canada)
Ellen Grant, Univ. of California/San Francisco (United States)

Published in SPIE Proceedings Vol. 2410:
Visual Data Exploration and Analysis II
Richard N. Ellson; Georges G. Grinstein; Robert F. Erbacher, Editor(s)

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