{"title":"3D Visualisation of the Radiological Features of Type II Collagenopathies Associated with Skeletal Dysplasias","authors":"T. Wyeld, A. Zankl","doi":"10.1109/MEDIVIS.2008.19","DOIUrl":null,"url":null,"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.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"4 1","pages":"53-56"},"PeriodicalIF":1.3000,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEDIVIS.2008.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.