Multiscale extraction of diagnostic content applied for CT brain examination

• Autorzy: Przelaskowski A. , Ostrek G. , Sklinda K.
• Języki publikacji: EN

Abstrakty

EN

This paper presents the estimation methods of subtle hypodense changes of brain tissue in noncontrast CT scans. The purpose of reported research is improved detection of direct signs of hyperacute ischemic stroke. Proposed tool is nonlinear approximation in base of multiscale functions with respective thresholding. Different rationales for best basis selection were considered. Several local bases including wavelets, curvelets, contourlets and wedgelets were considered and characterized with a criterion of as fast as possible approximation error decay. Adaptive thresholding was suggested for defining of nonlinear approximation space for different image models. Procedures of estimation and extraction of diagnostic information were experimentally verified. Improved diagnosis of acute stroke eases was reported.

Słowa kluczowe

EN

ischemic stroke; image nonlinear approximation; multiscale image analysis; wavelets

PL

udar niedokrwienny; aproksymacja nieliniowa; analiza obrazu; falki

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2009
• Tom: Vol. 29, no. 4
• Strony: 25--40
• Opis fizyczny: Bibliogr. 15 poz., rys., wykr.

Twórcy

autor

Przelaskowski A.

autor

Ostrek G.

autor

Sklinda K.

• Institute of Radioelectronics, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warszawa, Poland,

Bibliografia

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