The Center for Biomedical Informatics
State University of Campinas, Brazil

Research Abstracts

A multilayered neural network for processing 2D tomographic images in neurosurgery

Renato M.E. Sabbatini^1,2

¹Center for Biomedical Informatics and ²Faculty of Medical Sciences, State University of Campinas, Brazil.

A prototype artificial neural network (ANN) which is capable of processing serial sections of the brain obtained from computed-tomography (CT) or magnetic resonance imaging (MRI) tomographs has been designed. The segmented, outlined images, representing internal brain structures, both normal and abnormal, are then used as an input to a 3-D stereotaxic radiosurgery planning software. The algorithm was implemented as a software simulation in a microcomputer, structured as three cascading subnetworks. The ANN performs very well in the overall task of obtaining automatically outlined and segmented brain slices, for the purposes of 3-D reconstruction and surgical planning

Keywords: Artificial neural networks, brain, computed tomography, image processing, medical imaging, algorithm, pattern recognition

IEEE Conference Record

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Last Updated: September, 1992