{"title":"Optimization of visual presentation of MRI image for accurate detection of tumor in human brain using virtual instrument","authors":"A. Lakshmi, P. Samata","doi":"10.1109/BMEICON.2012.6465428","DOIUrl":null,"url":null,"abstract":"Brain tumor is the uncharacteristic growth of cells inside the brain or the skull that can either be cancerous (malign) or non-cancerous (benign) [1]. A very important aspect in clinical practice is the early detection and classification of brain tumors. The value of advanced imaging platforms such as magnetic resonance imaging (MRI) for early detection of tumor remains unclear. The paper applies Lab VIEW software for detecting and locating early stage brain tumors from MRI data. Here we designed a system which enhances the MRI data and gives the exact location and the area of the tumor required for the diagnostic and analysis of tumor easily. The estimation time required to perform the inspection is also obtained from the performance meter.","PeriodicalId":409705,"journal":{"name":"The 5th 2012 Biomedical Engineering International Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 5th 2012 Biomedical Engineering International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEICON.2012.6465428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Brain tumor is the uncharacteristic growth of cells inside the brain or the skull that can either be cancerous (malign) or non-cancerous (benign) [1]. A very important aspect in clinical practice is the early detection and classification of brain tumors. The value of advanced imaging platforms such as magnetic resonance imaging (MRI) for early detection of tumor remains unclear. The paper applies Lab VIEW software for detecting and locating early stage brain tumors from MRI data. Here we designed a system which enhances the MRI data and gives the exact location and the area of the tumor required for the diagnostic and analysis of tumor easily. The estimation time required to perform the inspection is also obtained from the performance meter.