Echogenicity measuring of ultrasound images based on multi-agent system to appraisal of diagnosis

摘要

This presented paper is focused on image processing of transcranial sonography (TCS) images to Parkinson's disease recognition by means of own developed MATLAB application, more precisely on the first phase of pre-processing of TCS images. This phase is realized by using multi-agent (MAS) system which analyze brightness inside ROI substantia nigra, more precisely echogenicity substantia nigra to potential risk of parkinsonism. Firstly, we detect global brightness of cut with ROI and subsequently only locally inside substantia nigra to detect lesions. Furthermore, paper also briefly presents phase of the main processing with exact measuring SN area and post-processing with saving the measured values to further analysis.