The recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F10%3A%230003054" target="_blank" >RIV/47813059:19240/10:#0003054 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
The recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis
Original language description
This paper is about recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis. As input we have a collection of sonographical slices which were preprocessed and optimized and we must detect a ROI substantia nigra. Furthermore shows a principle of PCA and practical implementation with results and contains a comparison of results from different software. The main goal is a classification of these images and recognition results. This processing is important for detection of Parkinson´s disease, reflected well recognition of ROI substantia nigra. We got an output as selected principal components and we assessed a threshold for classification. Core implementation were realized in C# optimized application and computed in another existing software. We used cropped images contains ROI and we optimized PCA algorithm to effective computing.
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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