Efficiency of new method of removing the noisy background from the sequence of MRI scans depending on structuring elements used to morphological processing
{"title":"Efficiency of new method of removing the noisy background from the sequence of MRI scans depending on structuring elements used to morphological processing","authors":"R. Kalicka, A. Pietrenko‐Dabrowska, S. Lipiński","doi":"10.1109/INFTECH.2008.4621682","DOIUrl":null,"url":null,"abstract":"The paper presents a new method of removing the noisy background from the sequence of magnetic resonance imaging (MRI) scans. The scans contain the noisy head-cross data and also the noisy background data. The latter have to be removed and excluded from a further analysis. It is achieved by applying some basic morphological operations of dilation, erosion, opening and closing to the previously binarized MRI scans. The results of removing the background from the sequence of scans with the use of some different shapes and sizes of structuring elements are presented in the paper. The aim of this paper is to choose the best structuring elements to make the new method the most immune to various qualities and appearances of the processed MRI images.","PeriodicalId":247264,"journal":{"name":"2008 1st International Conference on Information Technology","volume":"233 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 1st International Conference on Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFTECH.2008.4621682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The paper presents a new method of removing the noisy background from the sequence of magnetic resonance imaging (MRI) scans. The scans contain the noisy head-cross data and also the noisy background data. The latter have to be removed and excluded from a further analysis. It is achieved by applying some basic morphological operations of dilation, erosion, opening and closing to the previously binarized MRI scans. The results of removing the background from the sequence of scans with the use of some different shapes and sizes of structuring elements are presented in the paper. The aim of this paper is to choose the best structuring elements to make the new method the most immune to various qualities and appearances of the processed MRI images.