BP-Based Artificial Neural Network of MRI Segmentation
Bao Jiang · Microcomputer Development · 2000
This paper studies a method of supervised BP-based artificial neural network in segmentation multi-echo magnetic resonance images of the brain. Input data consisted of T1-weighted, T2-weighted and PD-weighted images. The segmentation was based on the pixel intensity in each images. A set of labeled training patterns has to be collected for each tissue type by an user to train the classifier . A special interactive environment must be developed for immediate correction of any unreasonable results that arise from the inappropriate choice of training samples.