Computational analysis of prostate perfusion images - a preliminary report

• Autorzy: Śmietański J. , Tadeusiewicz R.
• Języki publikacji: EN

Abstrakty

EN

Currently used diagnostic procedures for identification of the prostate cancer (PCa) are insufficient. It occurs quite often that the existing PCa cannot be detected. Therefore scientists search for other methods enabling a better efficacy of diagnosis. The perfusion computed tomography technique (p-CT), which measures some parameters of blood flow within diagnosed organs, is supposed to avoid such problems, even in particularly hard cases. In this paper some methods of automatic analysis of prostate perfusion tomographic images are presented and discussed. Although the work concentrates only on one image derived from one patient, we can see the complexity and importance of the task. The proposed algorithms and methods based on the Haralick's co-occurrence matrices seems to be the appropriate technique to point out the cancerous lesions. In the further work described algorithms will be tested on a large set of patients. This goal needs close cooperation between radiologists, pathologist, computer scientists and engineers. The final goal is to develop a professional diagnostic system used in computer aided prostate diagnosis.

Słowa kluczowe

EN

diagnostic procedure; prostate; perfusion; diagnostic system

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2009
• Tom: Vol. 5, no. 10
• Strony: 25--30
• Opis fizyczny: Bibliogr. 8 poz., rys., tab., zdj.

Twórcy

autor

Śmietański J.

• Institute of Computer Science Jagiellonian University, ul. Łojasiewicza 6, 30-438 Kraków

autor

Tadeusiewicz R.

• Department of Automatics AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków

Bibliografia

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• 8. Walker R. F., Adaptive multi-scale texture analysis with application to automated cytology, University of Queensland 1997.