O V Sanjay Sarma, Martha Betancur, Ramana Pidaparti, L Karumbaiah
{"title":"从TBI-MRI估计病变体积。","authors":"O V Sanjay Sarma, Martha Betancur, Ramana Pidaparti, L Karumbaiah","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Traumatic brain injury (TBI) is a major problem affecting millions of people around the world every year. Usually, TBI results from any direct or indirect physical impact, sudden jerks, or blunt impacts to the head, leading to damage to the brain. Current research in TBI is focused on analyzing the biological and behavioral states of patients prone to such injuries. This paper presents a technique applied on MRI images in estimation of lesion volumes in brain tissues of traumatic brain-injured laboratory rats that were subjected to controlled cortical impacts. The lesion region in the brain tissue is estimated using segmentation of the brain, diffusion, and the damage regions. After the segmentation, the area of the damaged portion is estimated across each slice of MRI and the combined volume of damage is estimated through 3D reconstruction.</p>","PeriodicalId":92282,"journal":{"name":"Progress in advanced computing and intelligent engineering : proceedings of ICACIE 2016. International Conference on Advanced Computing and Intelligent Engineering (2016 : Bhubaneswar, India)","volume":"563 ","pages":"197-207"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937286/pdf/nihms960260.pdf","citationCount":"0","resultStr":"{\"title\":\"Lesion Volume Estimation from TBI-MRI.\",\"authors\":\"O V Sanjay Sarma, Martha Betancur, Ramana Pidaparti, L Karumbaiah\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Traumatic brain injury (TBI) is a major problem affecting millions of people around the world every year. Usually, TBI results from any direct or indirect physical impact, sudden jerks, or blunt impacts to the head, leading to damage to the brain. Current research in TBI is focused on analyzing the biological and behavioral states of patients prone to such injuries. This paper presents a technique applied on MRI images in estimation of lesion volumes in brain tissues of traumatic brain-injured laboratory rats that were subjected to controlled cortical impacts. The lesion region in the brain tissue is estimated using segmentation of the brain, diffusion, and the damage regions. After the segmentation, the area of the damaged portion is estimated across each slice of MRI and the combined volume of damage is estimated through 3D reconstruction.</p>\",\"PeriodicalId\":92282,\"journal\":{\"name\":\"Progress in advanced computing and intelligent engineering : proceedings of ICACIE 2016. International Conference on Advanced Computing and Intelligent Engineering (2016 : Bhubaneswar, India)\",\"volume\":\"563 \",\"pages\":\"197-207\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937286/pdf/nihms960260.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in advanced computing and intelligent engineering : proceedings of ICACIE 2016. International Conference on Advanced Computing and Intelligent Engineering (2016 : Bhubaneswar, India)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2018/2/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in advanced computing and intelligent engineering : proceedings of ICACIE 2016. International Conference on Advanced Computing and Intelligent Engineering (2016 : Bhubaneswar, India)","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/2/9 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Traumatic brain injury (TBI) is a major problem affecting millions of people around the world every year. Usually, TBI results from any direct or indirect physical impact, sudden jerks, or blunt impacts to the head, leading to damage to the brain. Current research in TBI is focused on analyzing the biological and behavioral states of patients prone to such injuries. This paper presents a technique applied on MRI images in estimation of lesion volumes in brain tissues of traumatic brain-injured laboratory rats that were subjected to controlled cortical impacts. The lesion region in the brain tissue is estimated using segmentation of the brain, diffusion, and the damage regions. After the segmentation, the area of the damaged portion is estimated across each slice of MRI and the combined volume of damage is estimated through 3D reconstruction.