DocumentCode :
2757126
Title :
3D Visualisation of the Radiological Features of Type II Collagenopathies Associated with Skeletal Dysplasias
Author :
Wyeld, Theodor ; Zankl, Andreas
Author_Institution :
Swinburne Univ. of Technol., Melbourne, VIC
fYear :
2008
fDate :
9-11 July 2008
Firstpage :
53
Lastpage :
56
Abstract :
Preceding this report, a proof-of-concept pilot study was conducted on the REAMS database. The REAMS database associates skeletal dysplasia (SD) and their conditions, clinical and radiographic features, with exemplar X-ray images. This study reports on the 3D visualisation of the interconnectedness of the various terms used in the REAMS database. Preliminary results show predictable clustering and outliers based on shared common terms. In 1994 Spranger et al. reported on the identification of the 6 type II collagenopathy conditions associated with SDs. To test the accuracy and usefulness of our 3D visualisation of the REAMS database the 6 known type II collagenopathies were colour coded to distinguish their location within the larger database. Distinct clustering was detected. However, we also discovered 10 non type II collagenopathy conditions that share 2 or more common clinical and/or radiographic features with at least 1 of the 6 known type II collagenopathy conditions. This result confirms and quantifies the clinical radiographical overlap among the type II collagenopathies as originally predicted by Spranger et al.
Keywords :
bone; data visualisation; diagnostic radiography; medical computing; pattern clustering; statistical analysis; visual databases; REAMS database 3D visualisation; REAMS terms interconnectedness; X-ray images; patterm clustering; skeletal dysplasia; type II collagenopathy radiological features; Biomedical imaging; Biomedical informatics; Genetic mutations; Image databases; Radiography; Spatial databases; Testing; Visual databases; Visualization; X-ray imaging; 3D visual database; skeletal dysplasia; type II collagenopathies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Visualization, 2008. MEDIVIS '08. Fifth International Conference
Conference_Location :
London
Print_ISBN :
978-0-7695-3284-4
Type :
conf
DOI :
10.1109/MediVis.2008.19
Filename :
4618613
Link To Document :
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