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 smegenų tomografinių atvaizdų apdorojimui. Ischeminio smegenų insulto atveju reikalinga tiksli informacija apie insulto srities lokalizaciją, pavidalą ir tūrį. Siūlomą algoritmą sudaro kelios nuosekliai atliekamos procedūros: vaizdo filtravimas, insulto srities centro kiekviename sluoksnyje nustatymas, kontūro taškų išskyrimas, kontūro glodinimas ir ištempimas, insulto ir ne insulto sričių vizualizacija bei tūrio apskaičiavimas. Tai įmanoma atlikti personaliniu kompiuteriu. Pateiktas kompiuterinės tomogramos apdorojimo, naudojant minėtą algoritmą, pavyzdys.
Meilūnas, M., Ušinskas, A., Kirvaitis, R., & Dobrovolskis, R. A. (2003). Automatic contouring of segmented human brain ischemic stroke region on ct images. Mathematical Modelling and Analysis, 8(1), 43-50. https://doi.org/10.3846/13926292.2003.9637209
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