Intelligent information system for interpretation of dynamic perfusion brain maps

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%. © 2011 Springer Berlin Heidelberg.