Evaluation of optimal density weighting for regridding
Evaluation of optimal density weighting for regridding
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DOI：
10.1016/j.mri.2006.09.021
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发表时间：
2007-06-01
影响因子：
2.5
通讯作者：
Du, Jiang
中科院分区：
文献类型：
--
作者：
Bydder, Mark;Samsonov, Alexey A.;Du, Jiang
密度加权是用于将非均匀采样数据点插值到规则网格上的重网格算法的必要组成部分。以前已经提出了不同的密度加权最优性概念。本研究回顾了这些概念中的一些，并通过与计算密集型最小二乘最小化获得的图像进行比较，评估不同技术的准确性。一个变种的技术之一，提出了产生最高的精度的研究。(c)2007爱思唯尔公司All rights reserved.
Density weighting is a necessary component of the regridding algorithm for interpolating nonuniformly sampled data points onto a regular grid. Differing concepts of optimality for the density weighting have been proposed previously. The present study reviews some of these concepts and evaluates the accuracy of different techniques by comparison with the image obtained by a computationally intensive least squares minimization. A variant on one of the techniques is proposed that yields the highest accuracy of those studied. (c) 2007 Elsevier Inc. All rights reserved.