Paper
16 June 1997 Anatomical feature extraction for registration of multiple modalities of brain MR
Author Affiliations +
Proceedings Volume 2976, Biomedical Sensing, Imaging, and Tracking Technologies II; (1997) https://doi.org/10.1117/12.275530
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States
Abstract
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy S. Newman and James D. Leonard "Anatomical feature extraction for registration of multiple modalities of brain MR", Proc. SPIE 2976, Biomedical Sensing, Imaging, and Tracking Technologies II, (16 June 1997); https://doi.org/10.1117/12.275530
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KEYWORDS
Feature extraction

Image registration

Image segmentation

Eye

Brain

Magnetic resonance imaging

Surgery

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