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Anatomical feature extraction for registration of multiple modalities of brain MR

This paper introduces techniques for the extraction of anatomical structures from magnetic resonance (MR) images of the head. The goal of the work is to extract features that are useful for registration of different modalities of tomographic datasets of a patient. These features must therefore be present in multiple modalities of the datasets. Three such features that can be extracted are the location of the eyes, the longitudinal fissure, and the lateral ventricles. In this paper, we present our methods for extracting these features. The techniques exploit geometric shape characteristics to aid in the extraction process, chiefly through the use of Hough-based accumulations for location of the eyes and longitudinal fissure. An approach consisting of volume-growing followed by a locally adaptive histogramming is used for extraction of the ventricles.