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This paper is focused on digital image analysis of B-MODE ultrasound images. Our study is specialized in transcranial B-images in neurology. We have developed an algorithm in MATLAB which is used to finding echogenicity level in substantia nigra to detection of Parkinson's Disease. The algorithm was also contemporaneously tested and verified for nucleus raphe echogenicity analysis. In addition, we...
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...
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