Zonal segmentation of prostate using multispectral magnetic resonance images
Zonal segmentation of prostate using multispectral magnetic resonance images
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DOI：
10.1118/1.3651610
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发表时间：
2011-11-01
期刊：
影响因子：
3.8
通讯作者：
Betrouni, N.
中科院分区：
文献类型：
--
作者：
Makni, N.;Iancu, A.;Betrouni, N.
目的：研究将前列腺多光谱磁共振图像自动分割为两个区域：外围区域和中央腺体的新方法的性能。方法：所提出的方法基于证据 C 均值聚类算法的修改版本。证据 C 均值优化过程被修改以引入空间邻域信息。将前列腺区域形态的先验知识建模为几何标准，并用作附加数据源以增强两个区域的区分。结果：使用三十一个临床磁共振成像系列来验证该方法，并在评估其准确性时考虑了观察者间的变异性。中央腺体的平均 Dice 相似系数为 89%，周围区域的平均 Dice 相似系数为 80%，经放射科专家分割共识验证。结论：该方法在统计上对患者年龄、前列腺体积和肿瘤存在的变化不敏感，这增加了其在临床环境中的可行性。 (C) 2011 年美国医学物理学家协会。 [DOI：10.1118/1.3651610]
Purpose: To investigate the performance of a new method of automatic segmentation of prostatic multispectral magnetic resonance images into two zones: the peripheral zone and the central gland.Methods: The proposed method is based on a modified version of the evidential C-means clustering algorithm. The evidential C-means optimization process was modified to introduce spatial neighborhood information. A priori knowledge of the prostate's zonal morphology was modeled as a geometric criterion and used as an additional data source to enhance the differentiation of the two zones.Results: Thirty-one clinical magnetic resonance imaging series were used to validate the method, and interobserver variability was taken into account in assessing its accuracy. The mean Dice Similarity Coefficient was 89% for the central gland and 80% for the peripheral zone, as validated by a consensus from expert radiologist segmentation.Conclusions: The method was statistically insensitive to variations in patient age, prostate volume and the presence of tumors, which increases its feasibility in a clinical context. (C) 2011 American Association of Physicists in Medicine. [DOI: 10.1118/1.3651610]