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Proceedings Paper

Building structural descriptions from coronal magnetic resonance images
Author(s): Subha V. Raman; Kim L. Boyer
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Paper Abstract

This paper presents several components of a system designed for the automated segmentation of coronal magnetic resonance images. Structural descriptions of several anatomical features are built in a hierarchial fashion. We begin with low-level edge detection and a constant curvature decomposition. This is followed by a graph-theoretic approach to generate structure hypotheses. After defining an object-centered coordinate system, we develop unary attributes and binary relations to make hypothesis evaluations and classifications. We handle the problem of describing three-dimensional structures from two-dimensional information using a novel slice-to-slice matching approach. These 3-D descriptions can later be used to build a topologically-structured modelbased which has broad applications. We also define a general structure matching framework which greatly simplifies the problem of incorporation new information into the system.

Paper Details

Date Published: 29 July 1993
PDF: 12 pages
Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148677
Show Author Affiliations
Subha V. Raman, Ohio State Univ. (United States)
Kim L. Boyer, Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 1905:
Biomedical Image Processing and Biomedical Visualization
Raj S. Acharya; Dmitry B. Goldgof, Editor(s)

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