三维医学成像统计最优断层值插值:理论与实现

[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1992-06-14 DOI:10.1109/CBMS.1992.244938

Rob W. Parrott, M. Stytz, P. Amburn, D. Robinson

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引用次数: 4

摘要

描述了一种用于三维医学图像绘制的标量值的统计最优交错插值技术。插值技术是基于克里格的，它被认为是空间分布数据的最佳线性无偏估计技术。本文给出了用克里格法对切片插值进行目标空间预处理的结果。作为该技术的副产品，克里格计算了片间值的估计误差。这使得量化由估计技术计算的切片的插值误差成为可能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Statistically optimal interslice value interpolation in 3D medical imaging: theory and implementation

Describes a technique for statistically optimal interslice interpolation of scalar values for use in three-dimensional medical image rendering. The interpolation technique is based upon kriging, which is known to be the best linear unbiased estimation technique for spatially distributed data. The authors present the results obtained using kriging in the object space preprocessing operation of slice interpolation by slice-value interpolation. As a byproduct of the technique, kriging calculates the estimation error for the interslice values. This makes it possible to quantify the interpolation error in slices computed by the estimation technique.<>

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来源期刊

[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems

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