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Title

3D visualisation of the radiological features of type II collagenopathies associated with skeletal dysplasias

Author(s)

Wyeld, Theodor;  Zankl, Andreas

Abstract

Preceding this report, a proof-of-concept pilot study was conducted on the REAMS database [see 5]. 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 [14] 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 [14].

Publication type

Conference paper

Research centre

Swinburne University of Technology

Source

Proceedings of the 5th International Conference on BioMedical Visualization, 'Information Visualization in Medical and Biomedical Informatics', MediVis 2008, London, United Kingdom, 09-11 July 2008 / Chris Moore, Georges Grinstein, Urska Cvek, Marjan Trutschl, and Feng Dong (eds.), pp. 53-56

Publication year

2008

Keyword(s)

3D visual database;  Bioinformatics;  Database systems;  Information analysis;  Information science;  Information systems;  Optical diffusers;  Out-liers;  Pilot studies;  Radiological features;  Skeletal dysplasia;  Three dimensional;  Type II collagenopathies;  Visualization;  Visualisation;  X ray radiography

Publisher

IEEE

ISBN

9780769532844

Publisher URL

http://dx.doi.org/10.1109/MediVis.2008.19

Copyright

Crown Copyright © 2008. Published by IEEE. The published version of the paper is reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed