Three Dimensional Segmentation in PCNN

  • Nishi, Naoya (Information and Computer Science, Faculty of Engineering Saitama University) ;
  • Tanaka, Masaru (Information and Computer Science, Faculty of Engineering Saitama University) ;
  • Kurita, Takio (The National Institute of Advanced Industrial Science and Technology)
  • Published : 2002.07.01

Abstract

In the three-dimensional domain image expressed with two-dimensional slice images, such as fMRI images and multi-slice CT images, we propose the three-dimensional domain automatic segmentation for the purpose of extracting region. In this paper, we segmented each domain from the fMRI images of the head of people and monkey. We used the neural network "Pulse-Coupled Neural Network" which is one of the models of visual cortex of the brain based on the knowledge from neurophysiology as the technique. By using this technique, we can segment the region without any learning. Then, we reported the result of division of each domain and extraction to the fMRI slice images of human's head using "three-dimensional Pulse-Coupled Neural Network" which is arranged and created the neuron in the shape of a three-dimensional lattice.

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