Contour propagation using feature-based deformable registration for lung cancer.
Contour propagation using feature-based deformable registration for lung cancer.
复制标题
使用基于特征的变形配准进行肺癌的轮廓传播
DOI：
10.1155/2013/701514
复制
发表时间：
2013
影响因子：
--
通讯作者：
Xie Y
中科院分区：
文献类型：
--
作者：
Yang Y;Zhou S;Shang P;Qi E;Wu S;Xie Y
CT图像的准确靶标圈定是制定放疗计划的关键步骤。本文提出了一种基于可变形配准的肺癌CT图像自动轮廓传播策略。该策略首先在三维CT图像的一个切片中手动勾画轮廓。通过基于特征的可变形配准，可以自动传播图像其他切片中的初始轮廓，然后通过主动轮廓方法进行细化。该策略采用了三种算法：加速鲁棒特征（SURF）、薄板样条（TPS）和自适应活动轮廓（Snake），用于对初始轮廓进行细化和修改。用5个肺癌病例约400个切片和1000个轮廓来验证所提出的策略。实验结果表明，该方法可以提高肺部CT图像的分割性能。Jaccard相似性（JS）均值约为0.88，Hausdorff距离（HD）最大值约为90%。此外，圈定时间也大大缩短。提出的轮廓自动传播中基于特征的可变形配准方法显著提高了轮廓的描绘效率。
Accurate target delineation of CT image is a critical step in radiotherapy treatment planning. This paper describes a novel strategy for automatic contour propagation, based on deformable registration, for CT images of lung cancer. The proposed strategy starts with a manual-delineated contour in one slice of a 3D CT image. By means of feature-based deformable registration, the initial contour in other slices of the image can be propagated automatically, and then refined by active contour approach. Three algorithms are employed in the strategy: the Speeded-Up Robust Features (SURF), Thin-Plate Spline (TPS), and an adapted active contour (Snake), used to refine and modify the initial contours. Five pulmonary cancer cases with about 400 slices and 1000 contours have been used to verify the proposed strategy. Experiments demonstrate that the proposed strategy can improve the segmentation performance in the pulmonary CT images. Jaccard similarity (JS) mean is about 0.88 and the maximum of Hausdorff distance (HD) is about 90%. In addition, delineation time has been considerably reduced. The proposed feature-based deformable registration method in the automatic contour propagation improves the delineation efficiency significantly.
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DOI：
10.1023/b:visi.0000029664.99615.94
发表时间：
2004-11-01
影响因子：
19.5
作者：
Lowe, DG
通讯作者：
Lowe, DG
影响因子：
3.8
作者：
Xie, Yaoqin;Chao, Ming;Xing, Lei
通讯作者：
Xing, Lei
影响因子：
4.8
作者：
Collins, DL;Holmes, CJ;Evans, AC
通讯作者：
Evans, AC
影响因子：
10.6
作者：
Van Leemput, K;Maes, F;Suetens, P
通讯作者：
Suetens, P
影响因子：
4.8
作者：
DICE, LR
通讯作者：
DICE, LR