Building structural descriptions from coronal magnetic resonance images
Subha V. Raman, Kim L. Boyer · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
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.