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

This paper describes how to recognize substantia nigra (SN) area in ultrasound brain-stem images. The main goal is the classification of ROI SN in midbrain. The classification of images is useful to detection Parkinson's disease (PD), defects in SN. Work is based on image processing and is real...

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Bibliographic Details
Published in2011 IEEE International Symposium on Medical Measurements and Applications pp. 137 - 142
Main Authors Blahuta, J., Soukup, T., Cermak, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
Artificial neural networks
Biological neural networks
Image processing
MATLAB
neural network
Parkinson's disease
Principal component analysis
Tin
Ultrasonic imaging
ultrasound
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Summary:This paper describes how to recognize substantia nigra (SN) area in ultrasound brain-stem images. The main goal is the classification of ROI SN in midbrain. The classification of images is useful to detection Parkinson's disease (PD), defects in SN. Work is based on image processing and is realized with the help of artificial neural networks and solve is realized with MATLAB, with Image Processing and Neural Network Toolboxes.
ISBN:1424493366
9781424493364
DOI:10.1109/MeMeA.2011.5966644