29 July 1993 Building structural descriptions from coronal magnetic resonance images
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Subha V. Raman, Kim L. Boyer, "Building structural descriptions from coronal magnetic resonance images", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148677; https://doi.org/10.1117/12.148677

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