Brain tissues segmentation on MR perfusion images using CUSUM filter for boundary pixels

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dc.contributor.authorAlkhimova, Svitlana Mykolaivna
dc.contributor.authorKrenevych, Andrii Pavlovych
dc.date.accessioned2023-02-07T17:03:56Z
dc.date.available2023-02-07T17:03:56Z
dc.date.issued2019
dc.description.abstractenThe fully automated and relatively accurate method of brain tissues segmentation on Т2-weighted magnetic resonance perfusion images is proposed. Segmentation with this method provides a possibility to obtain perfusion region of interest on images with abnormal brain anatomy that is very important for perfusion analysis. In the proposed method the result is presented as a binary mask, which marks two regions: brain tissues pixels with unity values and skull, extracranial soft tissue and background pixels with zero values. The binary mask is produced based on the location of boundary between two studied regions. Each boundary point is detected with CUSUM filter as a change point for iteratively accumulated points at time of moving on a sinusoidal-like path along the boundary from one region to another. The evaluation results for 20 clinical cases showed that proposed segmentation method could significantly reduce the time and efforts required to obtain desirable results for perfusion region of interest detection on Т2-weighted magnetic resonance perfusion images with abnormal brain anatomy.uk
dc.format.pagerangeP. 127-134.uk
dc.identifier.citationAlkhimova, S. M. Brain tissues segmentation on MR perfusion images using CUSUM filter for boundary pixels / S. M. Alkhimova, A. P. Krenevych // International Journal of Computing. – 2019. – V. 18, N 2. – P. 127-134.uk
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/52406
dc.language.isoenuk
dc.publisherWest Ukrainian National Universityuk
dc.publisher.placeTernopiluk
dc.sourceInternational Journal of Computing, Volume 18, Issue 2, 2019uk
dc.subjectdynamic susceptibility contrast magnetic resonance imaginguk
dc.subjectabnormal brain scansuk
dc.subjectregion of interestuk
dc.subjectCUSUMuk
dc.titleBrain tissues segmentation on MR perfusion images using CUSUM filter for boundary pixelsuk
dc.typeArticleuk

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