Statistical shape analysis for the classification of renal tumors affecting children

• Verfasst von: Giebel, Stefan Markus [VerfasserIn]
• Verfasst von: Schiltz, Jang [VerfasserIn]
• Verfasst von: Schenk, Jens-Peter [VerfasserIn]
• Titel: Statistical shape analysis for the classification of renal tumors affecting children
• Verf.angabe: Stefan Markus Giebel, Jang Schiltz and Jens-Peter Schenk
• Jahr: 2013
• Umfang: 10 S.
• Fussnoten: Gesehen am 10.02.2020 ; Verlinkung via DOI nicht möglich
• Titel Quelle: Enthalten in: Pakistan journal of statistics
• Ort Quelle: Lahore : [Verlag nicht ermittelbar], 1994
• Jahr Quelle: 2013
• Band/Heft Quelle: 29(2013), Seite 129-138
• ISSN Quelle: 2310-3515
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1747976105

Abstract

In this research project, we describe an application of statistical shape analysis. In order to differentiate the various kidney tumours appearing in childhood we use shape analysis on two-dimensional magnetic resonance images (MRI). We show that this mathematical procedure can be an interesting tool to assist the radiologist who is required to make a decision based on their intuition and their experience in lack of specific tumour characteristics. This study is the first one using MR images in oncology for statistical shape analysis. Our method is innovative in the way to find suitable landmarks and to test the differences, even if the sample size is small. In order to test the mean shape, the statistical test of Ziezold is used.