Nonrigid registration of 3-D free-hand ultrasound images of the breast
Nonrigid registration of 3-D free-hand ultrasound images of the breast
复制标题
乳房 3D 徒手超声图像的非刚性配准
DOI：
10.1109/tmi.2002.1000264
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发表时间：
2002
影响因子：
10.6
通讯作者：
R. English
中科院分区：
文献类型：
--
作者：
Guofang Xiao;M. Brady;J. Noble;M. Burcher;R. English
乳房的三维（3-D）超声成像能够比传统的二维（2-D）成像更好地评估疾病。徒手技术通常用于从一系列2-D切片图像生成3-D数据。然而，乳房在扫描期间显著变形，因为其主要由软组织组成。这通常导致在多个扫描扫掠的空间复合中的组织配准不良。为了克服这个问题，在本文中，而不是引入额外的限制扫描条件，我们使用图像处理技术。我们提出了一个全自动的算法，自由手超声数据的三维非线性配准。它使用块匹配方案和局部统计来估计局部组织变形。贝叶斯正则化方法应用于样本位移场。通过对样本位移场进行B样条逼近网格拟合，得到最终的变形场。使用体模数据评价配准精度，在数据中存在（0.19 mm）和不存在（0.16 mm）间隙的情况下，获得了相似的配准误差。实验结果表明，配准是至关重要的不同扫描的空间复合。该方法在中等硬件上的执行时间对于相当大的研究来说足够快。
Three-dimensional (3-D) ultrasound imaging of the breast enables better assessment of diseases than conventional two-dimensional (2-D) imaging. Free-hand techniques are often used for generating 3-D data from a sequence of 2-D slice images. However, the breast deforms substantially during scanning because it is composed primarily of soft tissue. This often causes tissue misregistration in spatial compounding of multiple scan sweeps. To overcome this problem, in this paper, instead of introducing additional constraints on scanning conditions, we use image processing techniques. We present a fully automatic algorithm for 3-D nonlinear registration of free-hand ultrasound data. It uses a block matching scheme and local statistics to estimate local tissue deformation. A Bayesian regularization method is applied to the sample displacement field. The final deformation field is obtained by fitting a B-spline approximating mesh to the sample displacement field. Registration accuracy is evaluated using phantom data and similar registration errors are achieved with (0.19 mm) and without (0.16 mm) gaps in the data. Experimental results show that registration is crucial in spatial compounding of different sweeps. The execution time of the method on moderate hardware is sufficiently fast for fairly large research studies.
乳腺肿块的 3D 和 2D 彩色血流显示。
影响因子：
2.9
作者：
Carson,PL;Moskalik,AP;Govil,A;Roubidoux,MA;Fowlkes,JB;Normolle,D;Adler,DD;Rubin,JM;Helvie,M
通讯作者：
Helvie,M
影响因子：
2.9
作者：
DETMER, PR;BASHEIN, G;STRANDNESS, DE
通讯作者：
STRANDNESS, DE
影响因子：
2.9
作者：
Krücker, JF;Meyer, CR;Carson, PL
通讯作者：
Carson, PL