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Neural network approach to segmentation of magnetic resonance head images

✍ Scribed by Koichi Oshio; Manbir Singh

Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
447 KB
Volume
4
Category
Article
ISSN
0899-9457

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✦ Synopsis

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 Tz 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.

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