Neural network approach to segmentation of magnetic resonance head images

Koichi Oshio, Manbir Singh

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


A novel image segmentation scheme based on a neural network has been implemented to segment magnetic resonance head images. A three‐layer perceptron‐type neural network, trained with backward error propagation algorithm was used. The scheme utilizes first‐echo intensity and computed T2 values to construct a two‐parameter space for classification. After training on a selected slice, the method successfully segments all slices for a given subject without any further human interaction.

Original languageEnglish
Pages (from-to)130-134
Number of pages5
JournalInternational Journal of Imaging Systems and Technology
Issue number2
Publication statusPublished - 1992 Jan 1
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Software
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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