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\iteman{io-port 02157177}
\itemau{Meil\=unas, M.; U\v sinskas, A.; Kirvaitis, R.; Dobrovolskis, R.A.}
\itemti{Automatic contouring of segmented human brain ischemic stroke region on CT images.}
\itemso{Math. Model. Anal. 8, No. 1, 43-50 (2003).}
\itemab
Summary: Investigation of the relationsbip between stroke area size and patient status implies evaluation of the stroke area location, volume and shape. Computed tomography (CT) examination became very popular in such type of investigation due to its moderate price and less discomfort for patients in comparison with other techniques. We propose an algorithm for segmented CT images post-processing, which consists of several stages: filtering of CT slices, smoothing and extension of stroke region boundary, filling of stroke space, and computing of stroke volume via all slices. Post-processing of several CT images using this technique showed that all accidental points can be filtered successfully and therefore the aim of ischemic stroke area determination can be reached. We are convinced that the quality of initial information (results of stroke area segmentation) plays a crucial role for later image processing.
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\itemut{ischemic brain stoke; image post-processing}
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\end