Building structural descriptions from coronal magnetic resonance images

Subha V. Raman; Kim L. Boyer

doi:10.1117/12.148677

29 July 1993 Building structural descriptions from coronal magnetic resonance images

Subha V. Raman, Kim L. Boyer

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148677
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

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.

Citation Download Citation

Subha V. Raman and Kim L. Boyer "Building structural descriptions from coronal magnetic resonance images", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148677

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