Automatic atlas-based segmentation of the breast in MRI for 3D breast volume computation
Automatic atlas-based segmentation of the breast in MRI for 3D breast volume computation
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DOI：
10.1118/1.4748504
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发表时间：
2012-10-01
期刊：
影响因子：
3.8
通讯作者：
Martel, A. L.
中科院分区：
文献类型：
--
作者：
Ortiz, C. Gallego;Martel, A. L.
目的：乳腺密度被认为是一个重要的危险因素，是影响乳腺癌后期风险的重要生物标志物。当使用MRI量化乳腺密度时，需要预先进行乳腺分割，以计算乳腺总体积并排除非乳腺周围组织。本文提出了一种基于相位一致性的局部边缘检测和泊松曲面重建的乳腺三维体积自动分割方法。边界定位框架被集成到后续的形状图集为基础的分割使用Laplacian framework.Results：3D分割实现乳房空气和乳房胸壁边界定位误差的中位数为1.36毫米和2.68毫米，分别为153.8厘米（3）的平均体积误差时，测试409 MRI数据集。此外，乳房体积评估技术将产生一个5.3%的变异性，在测试population.Conclusions中的乳房密度的估计：在MRI中的乳房的全自动分割方法允许计算的总乳房体积，乳房密度评估所需的一个步骤。该方法的特点是利用特征对图像强度不变性和形状图谱来增强形状的一致性。误差分析表明，5.3%的变异性估计乳腺密度所产生的方法是一个可接受的权衡。(C)2012年美国医学物理学家协会。[http：//dx.doi.org/10.1118/1.4748504]
Purpose: Breast density is considered a significant risk factor and an important biomarker influencing the later risk of breast cancer. Prior breast segmentation is required when quantifying breast density with MRI in order to calculate the total breast volume and exclude nonbreast surrounding tissues. This paper describes an automatic 3D breast volume segmentation approach.Methods: The method is based on 3D local edge detection using phase congruency and Poisson surface reconstruction to extract the total breast volume. The boundary localization framework is integrated to a subsequent shape atlas-based segmentation using a Laplacian framework.Results: The 3D segmentation achieves breast-air and breast-chest wall boundary localization errors with a median of 1.36 mm and 2.68 mm, respectively, and an average volume error of 153.8 cm(3) when tested on 409 MRI datasets. Furthermore, the breast volume assessment technique will produce a 5.3% variability in the estimation of breast density in the tested population.Conclusions: The fully automated segmentation approach of the breast in MRI allows the computation of total breast volume, a step required for breast density assessment. The use of features invariant to image intensity and a shape atlas to reinforce shape consistency are attractive characteristics of the method. Error analysis demonstrates that 5.3% variability in the estimation of breast density incurred by the method is an acceptable trade-off. (C) 2012 American Association of Physicists in Medicine. [http://dx.doi.org/10.1118/1.4748504]