{"title":"基于脑轴位图像的区域重构求解逆EEG问题","authors":"M. Arivazhagan, N. Mira","doi":"10.1109/ICOAC.2012.6416820","DOIUrl":null,"url":null,"abstract":"This paper presents a new method for reconstruction of current sources from the axial view of the brain for inverse EEG problem, which produce reconstructed sources that are confined to brain regions. The method involves partitioning the gray matter into a set of regions (active regions), and a simple linear model is constructed for the potentials produced by feasible source configurations inside each one of these regions. The proposed method computes the solution in two stages: in the first one, the active regions for experiment is found so that the harvested potentials approximate the measured potential data. In the second stage, a detailed distribution of the current sources inside each active region is performed. The scheme proposed is more compatible when comparing with other methods which produce the standardized localization strategy.","PeriodicalId":286985,"journal":{"name":"2012 Fourth International Conference on Advanced Computing (ICoAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Region based reconstruction from the axial view of the brain for inverse EEG problem\",\"authors\":\"M. Arivazhagan, N. Mira\",\"doi\":\"10.1109/ICOAC.2012.6416820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new method for reconstruction of current sources from the axial view of the brain for inverse EEG problem, which produce reconstructed sources that are confined to brain regions. The method involves partitioning the gray matter into a set of regions (active regions), and a simple linear model is constructed for the potentials produced by feasible source configurations inside each one of these regions. The proposed method computes the solution in two stages: in the first one, the active regions for experiment is found so that the harvested potentials approximate the measured potential data. In the second stage, a detailed distribution of the current sources inside each active region is performed. The scheme proposed is more compatible when comparing with other methods which produce the standardized localization strategy.\",\"PeriodicalId\":286985,\"journal\":{\"name\":\"2012 Fourth International Conference on Advanced Computing (ICoAC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Advanced Computing (ICoAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOAC.2012.6416820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Advanced Computing (ICoAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOAC.2012.6416820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Region based reconstruction from the axial view of the brain for inverse EEG problem
This paper presents a new method for reconstruction of current sources from the axial view of the brain for inverse EEG problem, which produce reconstructed sources that are confined to brain regions. The method involves partitioning the gray matter into a set of regions (active regions), and a simple linear model is constructed for the potentials produced by feasible source configurations inside each one of these regions. The proposed method computes the solution in two stages: in the first one, the active regions for experiment is found so that the harvested potentials approximate the measured potential data. In the second stage, a detailed distribution of the current sources inside each active region is performed. The scheme proposed is more compatible when comparing with other methods which produce the standardized localization strategy.