The image recognition of brain-stem ultrasound images with using a neural network based on PCA

摘要

This paper shows how to classify the medical ultrasound intracranial images by using PCA method. The main goal is a classification of ROI substantia nigra in midbrain. The classification of images is useful to detection Parkinson's disease (PD). Work is based on image processing and is realized with the help of artificial neural networks which has been simulated in NeuroSolutions 6 software environment. We have selected a PCA method for processing. This method is well applicable in NeuroSolutions.