Ebert D S, Heath D G, Kuszyk B S, Edwards L, Shaw C D, Kukla J, Bedwell T, Fishman E K
Computer Science and Electrical Engineering Department, University of Maryland Baltimore County, USA.
J Digit Imaging. 1998 Aug;11(3):151-7. doi: 10.1007/BF03168738.
Volume visualization is gaining widespread acceptance in medical applications. As its use increases, the issue of accuracy becomes critical. There have been very few studies examining the accuracy of volume rendering techniques. We studied the accuracy of hardware-assisted volume rendering for measurement of arterial stenosis in computed tomography (CT) data. The results of our study reveal that accurate measurements can be made from volume rendered CT data. However, error is present (absolute average error from 5.1% to 13.6%) and there is some variability, even for experts (standard deviation ranged from 4.8% to 15%). The evidence suggests that the choice of volume rendering (transfer function) parameters greatly affects the accuracy of the results. Accurate transfer function parameter selection is a difficult problem. Parameters that produce realistic images often provide inaccurate measurements. As the use of volume visualization grows and more inexperienced users begin using these tools for medical diagnosis and staging, new guidelines, aids, and techniques must be developed to ensure reliable, accurate visualization results.
容积可视化在医学应用中得到了广泛认可。随着其使用的增加,准确性问题变得至关重要。很少有研究考察容积渲染技术的准确性。我们研究了硬件辅助容积渲染在计算机断层扫描(CT)数据中测量动脉狭窄的准确性。我们的研究结果表明,可以从容积渲染的CT数据中进行准确测量。然而,误差是存在的(绝对平均误差从5.1%到13.6%),并且存在一定的变异性,即使对于专家也是如此(标准差范围从4.8%到15%)。有证据表明,容积渲染(传递函数)参数的选择极大地影响了结果的准确性。准确选择传递函数参数是一个难题。生成逼真图像的参数往往会提供不准确的测量结果。随着容积可视化的使用增加,越来越多缺乏经验的用户开始使用这些工具进行医学诊断和分期,必须制定新的指南、辅助工具和技术,以确保获得可靠、准确的可视化结果。