三维超声合成的快速图像配准

J.F. Kucker, P. Carson, G. LeCarpentier, J. Fowlkes, C. Meyer
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引用次数: 3

摘要

一种基于亚体积的超声配准算法(SURE)已经开发出来,并使用人工变形的体内超声扫描进行了测试。SURE分为两个阶段,在第一阶段使用MIAMI Fuse软件确定全局仿射配准,然后在第二阶段迭代地将体积划分为子体积并计算局部刚性配准。通过薄板样条(tps)的全局插值确保了整个体积的连通性。为了模拟连续扫描,应用随机非线性变形,并将相关和不相关噪声添加到20个图像体积中,每个图像体积由60到120个均匀间隔的b扫描切片重建。使用SURE进行配准后,人工变形体积中的平均位移分别从1.5 mm和2.0 mm减少到0.20 mm和0.27 mm。在平均数据集大小为13 MB的500 MHz CPU上,注册时间低于5分钟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid image registration for 3D ultrasound compounding
A Subvolume-based algorithm for Ultrasound REgistration (SURE) has been developed and tested using artificially deformed in vivo ultrasound scans. SURE works in two stages, using MIAMI Fuse software to determine a global, affine registration in the first stage before iteratively dividing the volume into subvolumes and computing local rigid registrations in the second stage. Connectivity of the entire volume is ensured by global interpolation using thin-plate splines (TPSs). To simulate sequential scans, a random nonlinear deformation was applied and both correlated and uncorrelated noise was added to 20 image volumes, each reconstructed from 60 to 120 evenly spaced B-scan slices. Registration using SURE reduced the average displacements of 1.5 and 2.0 mm in the artificially deformed volumes to 0.20 and 0.27 mm, respectively. Registration times were below 5 min on a 500 MHz CPU for an average data set size of 13 MB.
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