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虚拟现实中软骨的定量图像分析

Quantitative image analysis of the cartilage in Virtual Reality.

作者信息

Englmeier K H, Siebert M, Stammberger T, von Eisenhardt-Rothe R, Graichen H, Eckstein F, Reiser M

机构信息

GSF--National Research Center for Environment and Health, Institute for Medical Informatics and Health System Research, Ingolstaedter Landstr 1, 85764 Neuherberg, Germany.

出版信息

Stud Health Technol Inform. 2002;85:141-3.

Abstract

The objective of this work is to develop image processing methods for analysing the morphology of the joint cartilage with magnetic resonance imaging. Quantitative data on the morphological distribution of the joint cartilage are of great interest for both research as well as for diagnosis. The cartilage thickness provides information on the local cartilage occurance and may therefore be helpful in early and objective diagnosing degenerative cartilage changes, monitoring the pathogenesis of osteoarthritis, and controlling the success of chondroprotective treatment. In biomechanics, the thickness distribution serves to analyse the functional adaptation or the compression of the cartilage under loading and may be used for numerical simulation of load transmission in the joint.

摘要

这项工作的目标是开发用于通过磁共振成像分析关节软骨形态的图像处理方法。关节软骨形态分布的定量数据对于研究和诊断都具有极大的价值。软骨厚度提供了关于局部软骨存在情况的信息,因此可能有助于早期客观诊断软骨退变变化、监测骨关节炎的发病机制以及控制软骨保护治疗的成效。在生物力学中,厚度分布有助于分析软骨在负荷下的功能适应性或压缩情况,并可用于关节负荷传递的数值模拟。

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