Automatic contouring of segmented human brain ischemic stroke region on ct images

Investigation of the relationship 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 investigations due to its moderate price and less discomfort for patient 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 ischémie 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. Žmoguas galvos smegenų ischeminio insulto segmentuoto tomografinio atvaizdo kontūrų automatinis nustatymas Santrauka Straipsnyje aprašytas algoritmas, skirtas žmogaus galvos smegenu tomografiniu atvaizdu apdorojimui. Ischeminio smegenu insulto atveju reikalinga tiksli informacija apie insulto srities lokalizacija, pavidala ir tūri. Siūloma algoritma sudaro kelios nuosekliai atliekamos procedūros: vaizdo filtravimas, insulto srities centro kiekviename sluoksnyje nustatymas, kontūro tašku išskyrimas, kontūro glodinimas ir ištempimas, insulto ir ne insulto sričiu vizualizacija bei tūrio apskaičiavimas. Tai imanoma atlikti personaliniu kompiuteriu. Pateiktas kompiuterines tomogramos apdorojimo, naudojant mineta algoritma, pavyzdys. First Published Online: 14 Oct 201