CAD system for automatic analysis of CT perfusion maps

• Autorzy: Hachaj T. , Ogiela M. R.
• Języki publikacji: EN

Abstrakty

EN

In this article, authors present novel algorithms developed for the computer-assisted diagnosis (CAD) system for analysis of dynamic brain perfusion, computer tomography (CT) maps, cerebral blood flow (CBF), and cerebral blood volume (CBV). Those methods perform both quantitative analysis [detection and measurement and description with brain anatomy atlas (AA) of potential asymmetries/lesions] and qualitative analysis (semantic interpretation of visualized symptoms). The semantic interpretation (decision about type of lesion: ischemic/hemorrhagic, is the brain tissue at risk of infraction or not) of visualized symptoms is done by, so-called, cognitive inference processes allowing for reasoning on character of pathological regions based on specialist image knowledge. The whole system is implemented in.NET platform (C# programming language) and can be used on any standard PC computer with.NET framework installed.

Słowa kluczowe

EN

pattern recognition; brain perfusion analysis; medical image processing; cognitive image interpretation; computer-assisted diagnosis

• Wydawca: Stowarzyszenie Elektryków Polskich ; Polska Akademia Nauk ; Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Opto-Electronics Review
• Rocznik: 2011
• Tom: Vol. 19, No. 1
• Strony: 95--103
• Opis fizyczny: Bibliogr. 35 poz., il., wykr.

Twórcy

autor

Hachaj T.

• Institute of Computer Scienve and Computer Methods, Pedagogical University of Krakow, 2 Podchorążych Eve, 30-0843 Kraków, Poland

autor

Ogiela M. R.

Bibliografia

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