Ayush Goyal, Manish K. Arya, R. Agrawal, A. Jothi, Ashwani K. Dubey, Sunayana Tirumalasetty, G. Hossain, R. Challoo
{"title":"认知疾病脑MRI图像中灰质和白质区域的分割工具","authors":"Ayush Goyal, Manish K. Arya, R. Agrawal, A. Jothi, Ashwani K. Dubey, Sunayana Tirumalasetty, G. Hossain, R. Challoo","doi":"10.1109/CIACT.2018.8480210","DOIUrl":null,"url":null,"abstract":"This research work suggests a method for prognosis of neurologic damage affecting advanced cognition activities of specimen brain suffering from neural impairment, degeneration, or deterioration with computerized extraction of cerebral white and gray neural tissue areas in cerebral scans. Reduction of the capacity or amount of these areas is proportional to alteration in the neo-pallium in specimen brain suffering from neural impairment, degeneration, or deterioration, or various neurologic conditions. Particularly, the slice width of the neo-pallium across the edges of the cerebral white and grey neural tissue areas can be used in assessing the neural damage in a specimen brain for evaluating the neurologic impairment. The research herewith suggests a procedural algorithmic program for the extraction of the cerebral white and grey neural tissue areas from cerebral scans of specimen brains implemented as a computer program for supporting neurological experts in evaluating physiological reduction in neural and cerebral matter from cerebral imaging sessions. This program can also be easily implemented on the systems within the brain imaging department or division of imaging centers in hospitals. This program could provide prognosis of neurologic disease and the stage of neural damage by running the completely computerized analysis of cerebral scans with the procedural step-wise methods and techniques described in this paper, and visualizing the marked cerebral white and grey neural tissue areas within the cerebral scans.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Segmentation Tool for Extracting Gray and White Matter Regions in Brain MRI Images for Cognitive Diseases\",\"authors\":\"Ayush Goyal, Manish K. Arya, R. Agrawal, A. Jothi, Ashwani K. Dubey, Sunayana Tirumalasetty, G. Hossain, R. Challoo\",\"doi\":\"10.1109/CIACT.2018.8480210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research work suggests a method for prognosis of neurologic damage affecting advanced cognition activities of specimen brain suffering from neural impairment, degeneration, or deterioration with computerized extraction of cerebral white and gray neural tissue areas in cerebral scans. Reduction of the capacity or amount of these areas is proportional to alteration in the neo-pallium in specimen brain suffering from neural impairment, degeneration, or deterioration, or various neurologic conditions. Particularly, the slice width of the neo-pallium across the edges of the cerebral white and grey neural tissue areas can be used in assessing the neural damage in a specimen brain for evaluating the neurologic impairment. The research herewith suggests a procedural algorithmic program for the extraction of the cerebral white and grey neural tissue areas from cerebral scans of specimen brains implemented as a computer program for supporting neurological experts in evaluating physiological reduction in neural and cerebral matter from cerebral imaging sessions. This program can also be easily implemented on the systems within the brain imaging department or division of imaging centers in hospitals. This program could provide prognosis of neurologic disease and the stage of neural damage by running the completely computerized analysis of cerebral scans with the procedural step-wise methods and techniques described in this paper, and visualizing the marked cerebral white and grey neural tissue areas within the cerebral scans.\",\"PeriodicalId\":358555,\"journal\":{\"name\":\"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIACT.2018.8480210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIACT.2018.8480210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Segmentation Tool for Extracting Gray and White Matter Regions in Brain MRI Images for Cognitive Diseases
This research work suggests a method for prognosis of neurologic damage affecting advanced cognition activities of specimen brain suffering from neural impairment, degeneration, or deterioration with computerized extraction of cerebral white and gray neural tissue areas in cerebral scans. Reduction of the capacity or amount of these areas is proportional to alteration in the neo-pallium in specimen brain suffering from neural impairment, degeneration, or deterioration, or various neurologic conditions. Particularly, the slice width of the neo-pallium across the edges of the cerebral white and grey neural tissue areas can be used in assessing the neural damage in a specimen brain for evaluating the neurologic impairment. The research herewith suggests a procedural algorithmic program for the extraction of the cerebral white and grey neural tissue areas from cerebral scans of specimen brains implemented as a computer program for supporting neurological experts in evaluating physiological reduction in neural and cerebral matter from cerebral imaging sessions. This program can also be easily implemented on the systems within the brain imaging department or division of imaging centers in hospitals. This program could provide prognosis of neurologic disease and the stage of neural damage by running the completely computerized analysis of cerebral scans with the procedural step-wise methods and techniques described in this paper, and visualizing the marked cerebral white and grey neural tissue areas within the cerebral scans.