{"title":"Dating the Hematoma of Haemorrhagic Stroke by Analysis of the Sisintegration of Oxyhemoglobin Nuclei","authors":"Biaou Dimon Jean, Assogba Kokou, Vianou Antoine","doi":"10.32622/ijrat.79201903","DOIUrl":null,"url":null,"abstract":"6 doi: 10.32622/ijrat.79201903 Abstract— Hemorrhagic stroke is caused by the rupture of cerebral blood vessels discharging blood onto the surrounding tissues and caused the hematoma. The knowledge of the evolutionary profile of the hematoma is essential at the end of the stroke, because it allows specialists to direct the treatment. The present work aims to develop a method to characterize the four stages of evolution of the hematoma. The material consists of haemorrhagic CT scan images collected at the Cotonou CNHU CT scan unit and processed in MATLAB R2015a environment. The proposed method made it possible to determine a mathematical function that can model the density distribution of oxyhemoglobins in the hematoma. The results obtained made it possible to characterize the different evolutionary stages of the hemorrhagic stroke with a success rate of 97,09% on a database of 103 images. This method of dating the hematoma will certainly be a decision-making tool in the diagnosis and management of haemorrhagic stroke.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"62 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Research in Advent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32622/ijrat.79201903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
6 doi: 10.32622/ijrat.79201903 Abstract— Hemorrhagic stroke is caused by the rupture of cerebral blood vessels discharging blood onto the surrounding tissues and caused the hematoma. The knowledge of the evolutionary profile of the hematoma is essential at the end of the stroke, because it allows specialists to direct the treatment. The present work aims to develop a method to characterize the four stages of evolution of the hematoma. The material consists of haemorrhagic CT scan images collected at the Cotonou CNHU CT scan unit and processed in MATLAB R2015a environment. The proposed method made it possible to determine a mathematical function that can model the density distribution of oxyhemoglobins in the hematoma. The results obtained made it possible to characterize the different evolutionary stages of the hemorrhagic stroke with a success rate of 97,09% on a database of 103 images. This method of dating the hematoma will certainly be a decision-making tool in the diagnosis and management of haemorrhagic stroke.