Speckle suppression and contrast enhancement in reconstruction of freehand 3D ultrasound images using an adaptive distance-weighted method
Speckle suppression and contrast enhancement in reconstruction of freehand 3D ultrasound images using an adaptive distance-weighted method
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DOI：
10.1016/j.apacoust.2008.02.002
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发表时间：
2009-01-01
影响因子：
3.4
通讯作者：
Chi, Zheru
中科院分区：
文献类型：
--
作者：
Huang, Qinghua;Lu, Minhua;Chi, Zheru
在三维 (3D) 徒手超声 (US) 中，将一组 B 扫描重建为规则体素阵列是后续可视化和分析的关键过程。本文提出了一种新的自适应插值算法，用于计算体素阵列，以抑制散斑噪声并增强对比度。测量同质区域的局部统计数据，包括均值和方差，并将方差与均值的比率用作同质性标准。对于每个体素的计算，插值方法是根据其局部统计数据自适应确定的。如果体素的相邻像素满足均匀性标准，则使用算术平均滤波器计算其值。否则，体素可能位于不均匀区域，并且采用自适应距离加权（ADW）插值方法来计算其值。使用所提出的算法和其他两种众所周知的方法（传统的距离加权（DW）和体素最近邻（VNN）插值）重建了分辨率模型和受试者的前臂。对比结果表明，自适应插值算法能够有效地抑制散斑、保留边缘并增强对比度，从而实现体积重建。 (C) 2008 Elsevier Ltd. 保留所有权利。
In three-dimensional (3D) freehand ultrasound (US), reconstructing a set of B-scans into a regular voxel array is the key procedure for consequent visualization and analysis. This paper presents a new adaptive interpolation algorithm for computing the voxel array to suppress speckle noises and enhance contrast. The local statistics of homogeneous regions including mean and variance were measured and the ratio of variance to mean was used as homogeneity criteria. For the computation of each voxel, the interpolation method was adaptively determined with respect to its local statistics. If the neighbouring pixels of a voxel satisfied the homogeneity criterion, its value was computed with an arithmetic mean filter. Otherwise, the voxel was probably locating in an inhomogeneous region and an adaptive distance-weighted (ADW) interpolation method was employed to compute its value. A resolution phantom and a subject's forearm were reconstructed using the proposed algorithm and two other well-known methods - conventional distance-weighted (DW) and voxel nearest neighbourhood (VNN) interpolations. The comparison results demonstrated that the adaptive interpolation algorithm was able to suppress speckles, preserve edges and enhance contrast effectively for the volume reconstruction. (C) 2008 Elsevier Ltd. All rights reserved.