Assessment of cartilage volume in the femorotibial joint with magnetic resonance imaging and 3D computer reconstruction.
Assessment of cartilage volume in the femorotibial joint with magnetic resonance imaging and 3D computer reconstruction.
复制标题
通过磁共振成像和 3D 计算机重建评估股胫关节软骨体积。
作者：
L. Pilch;C. Stewart;D. Gordon;R. Inman;K. Parsons;I. Pataki;J. Stevens
目的
我们的目标是开发一种准确和客观的技术，利用磁共振成像（MRI）和3D数据处理来描述和定量关节软骨。
方法
已经开发了一种3D图像分析方法，该方法提供了从标准诊断MR图像测量软骨体积的非侵入性技术。
结果
使用计算机工作站，从快速场回波（FFE）MR图像的软骨重建到三维（3D）。使用校准测试对象测试从现有计算机软件获得的厚度和体积测量的准确性和再现性。我们描述的错误，我们遇到的来源时，试图使用现有的计算机软件，开发的方法来减少这些错误，并使用健康的人类志愿者的初步软骨体积研究定量软骨。
结论
我们已经确定了使用现有的3D计算机软件尝试软骨体积估计所涉及的错误，并开发了一种数据处理技术，最大限度地减少这些错误。通过这些客观的数据处理技术，我们已经将该技术的再现性提高到+/-10-15%的误差。这种改进的技术提供了一个有前途的新方法，从标准的诊断MR图像观察和量化软骨体积。
OBJECTIVE
Our goal was the development of an accurate and objective technique to depict and quantitate articular cartilage using magnetic resonance imaging (MRI) and 3D data processing.
METHODS
A method of 3D image analysis has been developed that provides a noninvasive technique of measuring cartilage volume from standard diagnostic MR images.
RESULTS
Using a computer workstation, cartilage from Fast Field Echo (FFE) MR images was reconstructed into 3 dimensions (3D). The accuracy and reproducibility of both thickness and volume measurements obtained from the existing computer software was tested using calibration test objects. We describe the sources of error we encountered when attempting to quantitate cartilage using the existing computer software, the methods developed to reduce these errors, and a preliminary cartilage volume study using healthy human volunteers.
CONCLUSION
We have identified errors involved in attempting cartilage volume estimations using the existing 3D computer software and have developed a data processing technique that minimizes these errors. With these objective data processing techniques we have improved the reproducibility of the technique to +/- 10-15% error. This modified technique provides a promising new method for viewing and quantifying cartilage volume from standard diagnostic MR images.