3D Visualisation of the Radiological Features of Type II Collagenopathies Associated with Skeletal Dysplasias

IF 1.3 Q4 ENGINEERING, BIOMEDICAL

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2008-07-09 DOI:10.1109/MEDIVIS.2008.19

T. Wyeld, A. Zankl

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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.

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与骨骼发育不良相关的II型胶原病变放射学特征的三维可视化

在本报告之前，对REAMS数据库进行了概念验证试点研究。REAMS数据库将骨骼发育不良(SD)及其病情、临床和影像学特征与典型x射线图像联系起来。这项研究报告了在REAMS数据库中使用的各种术语的相互联系的3D可视化。初步结果显示基于共享公共项的可预测聚类和异常值。1994年，Spranger等人报道了与SDs相关的6种II型胶原病变。为了测试REAMS数据库3D可视化的准确性和实用性，我们对6种已知的II型胶原病变进行了颜色编码，以区分它们在更大的数据库中的位置。检测到明显的聚类。然而，我们也发现了10种非II型胶原病，它们与6种已知II型胶原病中的至少1种具有2种或更多的共同临床和/或影像学特征。该结果证实并量化了Spranger等人最初预测的II型胶原病变的临床影像学重叠。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization ENGINEERING, BIOMEDICAL-

CiteScore

2.80

自引率

6.20%

发文量

102

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.