{"title":"[Shape analysis of retroperitoneal tumors in childhood in magnetic resonance imaging].","authors":"S M Giebel, J Schiltz, N Graf, J P Schenk","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>2D-shape analysis of biological objects is described first in 2007 with MRI-data (magnetic resonance imaging) of renal tumours of infancy. For shape analysis the evaluation of landmarks is necessary (n >2). In this study 24 landmarks are selected. Every object is described by these landmarks. The shape is the standardised and centred object. The procedure is applied on transversal as well as on frontal images. The results for frontal and transversal images are compared. Tumours of different origin, topography and size can be analysed. The differentiation of relevant landmarks is important for statistical and medical reason. In this study, evaluation of landmarks and their possibility for tumour differentiation is demonstrated.</p>","PeriodicalId":72476,"journal":{"name":"Bulletin de la Societe des sciences medicales du Grand-Duche de Luxembourg","volume":"Spec No 1 1","pages":"41-51"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin de la Societe des sciences medicales du Grand-Duche de Luxembourg","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
2D-shape analysis of biological objects is described first in 2007 with MRI-data (magnetic resonance imaging) of renal tumours of infancy. For shape analysis the evaluation of landmarks is necessary (n >2). In this study 24 landmarks are selected. Every object is described by these landmarks. The shape is the standardised and centred object. The procedure is applied on transversal as well as on frontal images. The results for frontal and transversal images are compared. Tumours of different origin, topography and size can be analysed. The differentiation of relevant landmarks is important for statistical and medical reason. In this study, evaluation of landmarks and their possibility for tumour differentiation is demonstrated.
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