Intelligent information system for interpretation of dynamic perfusion brain maps

Authors:
Tomasz Hachaj;Marek R. Ogiela
Affiliations:
Pedagogical University of Cracow, Institute of Computer Science and Computer Methods, Krakow, Poland;AGH University of Science and Technology, Institute of Automatics, Krakow, Poland
Venue:
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Year:
2011

Citing 2
Cited 0

Image understanding methods in biomedical informatics and digital imaging

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Automatic Detection and Lesion Description in Cerebral Blood Flow and Cerebral Blood Volume Perfusion Maps

Journal of Signal Processing Systems

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Abstract

This article presents intelligent diagnostic supporting system for interpretation of dynamic perfusion brain maps. The solution enables the detection, measure and description of abnormalities visualized in CBF and CBV perfusion maps. The algorithm also states prognosis for ischemic lesion evolution in brain tissues. The validation of the algorithm was performed on set of 37 triplets of medical images acquired from 30 different adult patients (man and woman) with suspicious of ischemia / stroke and compared to description done to each case by radiologist. Total error rate of the proposed solution was 23.0%.