Segmenting the prostate and rectum in CT imagery using anatomical constraints
Segmenting the prostate and rectum in CT imagery using anatomical constraints
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DOI：
10.1016/j.media.2010.06.004
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发表时间：
2011-02-01
影响因子：
10.9
通讯作者：
Radke, Richard J.
中科院分区：
文献类型：
--
作者：
Chen, Siqi;Lovelock, D. Michael;Radke, Richard J.
从3D计算机断层扫描（CT）图像中自动分割前列腺和直肠仍然是一个具有挑战性的问题，并且对于图像引导治疗应用至关重要。我们提出了一种新的，自动分割算法的基础上建立从以前分割的训练数据的可变形器官模型。这项工作的主要贡献是一个新的分割成本函数的基础上贝叶斯框架，结合周围的骨骼和一个新的外观模型，学习的非参数分布的强度直方图内部和外部器官轮廓的解剖约束。我们报告了185个前列腺部位数据集的分割结果，证明了比以前模型更好的性能。(C)2010 Elsevier B.V.保留所有权利。
The automatic segmentation of the prostate and rectum from 3D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy applications. We present a new, automatic segmentation algorithm based on deformable organ models built from previously segmented training data. The major contributions of this work are a new segmentation cost function based on a Bayesian framework that incorporates anatomical constraints from surrounding bones and a new appearance model that learns a nonparametric distribution of the intensity histograms inside and outside organ contours. We report segmentation results on 185 datasets of the prostate site, demonstrating improved performance over previous models. (C) 2010 Elsevier B.V. All rights reserved.