Pattern Classification Methods for Analysis and Visualization of Brain Perfusion CT Maps - Computational Intelligence Paradigms in Advanced Pattern Classification - page 159

2. Tissues that will eventually become infarcted (tissues are present in CBF and
CBV asymmetry map and values of rCBF did drop beyond 0.48)
3. Tissues with an auto regulation mechanism in ischemic region (decreased CBF
with correct or increased CBV)
The visualized effect of previous rule is presented in Fig 7.
Fig. 6 The process of determination lesion type and position (top row CBF map, bottom
row CBV map). (A) input images, (B) CBF and CBV images with dissimilarity detected.
The value of perfusion in right region of interest - ROI (left side of image) is 8.96 ml/100
g/min in left ROI 69.01 ml/100 g/min. According to Table 1 it is ischemic lesion in right
hemisphere. CBV in right ROI equals 0.88 ml / 100g, CBV in left ROI is 3.54 ml / 100g.
According to Table 1 it is ischemic lesion in right hemisphere. (C) input image with poten-
tial lesion marked.
Fig. 7 The visualized prognosis for brain tissues superimposed on CT image. Red region -
infarcted tissues, blue region - tissues with an auto regulation mechanism.