Evaluation of multiple-atlas-based strategies for segmentation of the thyroid gland in head and neck CT images for IMRT.
Evaluation of multiple-atlas-based strategies for segmentation of the thyroid gland in head and neck CT images for IMRT.
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DOI：
10.1088/0031-9155/57/1/93
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发表时间：
2012-01-07
影响因子：
3.5
通讯作者：
Dawant BM
中科院分区：
文献类型：
--
作者：
Chen A;Niermann KJ;Deeley MA;Dawant BM
头颈部CT图像中甲状腺的分割对于制定调强放射治疗（IMRT）计划具有重要的临床意义。在这项工作中，我们评估和比较几种基于多图谱的方法来分割这种结构。使用最强大的方法，我们生成自动分割的甲状腺，并研究其临床适用性。我们评估的各种方法的范围从选择一个单一的地图集的基础上的三个相似性措施之一，结合分割结果与几个地图集和加权其贡献使用的技术，包括一个简单的多数表决规则，一种技术称为钉，被广泛用于医学成像文献中，和地图集和体积之间的相似性分割。我们表明，当几个图集相结合，并加权每个图集和体积之间的相似性的措施，他们的贡献得到最好的结果被分割。我们还表明，使用我们的数据集，吻合钉并不总是产生最佳结果。通过使用变形图谱和患者体积之间的相关系数（CC）的组合方法生成的自动分割，这是我们评估的最准确和鲁棒的方法，作为2D轮廓呈现给医生，并修改以满足临床要求。结果表明，约40%的左甲状腺和约42%的右甲状腺的轮廓可以直接使用。左边的21%和右边的24%只需要最小的修改。对修改的数量和位置进行了定性和定量评估。我们证明，尽管受到大的受试者间解剖差异的挑战，但通过涉及多个图谱，基于图谱的IMRT CT图像中甲状腺分割是可行的。结果表明，使用CC作为相似性度量的地图集的分割的加权组合略微优于标准组合方法，例如，多数投票规则和STAPLE，以及选择一个最相似图谱的方法。我们得到的结果表明，使用我们的轮廓作为初始轮廓进行编辑具有临床价值。
Segmenting the thyroid gland in head and neck CT images is of vital clinical significance in designing intensity-modulated radiation therapy (IMRT) treatment plans. In this work, we evaluate and compare several multiple-atlas-based methods to segment this structure. Using the most robust method, we generate automatic segmentations for the thyroid gland and study their clinical applicability. The various methods we evaluate range from selecting one single atlas based on one of three similarity measures, to combining the segmentation results obtained with several atlases and weighting their contribution using techniques including a simple majority vote rule, a technique called STAPLE that is widely used in the medical imaging literature, and the similarity between the atlas and the volume to be segmented. We show that the best results are obtained when several atlases are combined and their contributions are weighted with a measure of similarity between each atlas and the volume to be segmented. We also show that with our data set, STAPLE does not always lead to the best results. Automatic segmentations generated by the combination method using the correlation coefficient (CC) between the deformed atlas and the patient volume, which is the most accurate and robust method we evaluated, are presented to a physician as 2D contours and modified to meet clinical requirements. It is shown that about 40% of the contours of the left thyroid and about 42% of the right thyroid can be used directly. An additional 21% on the left and 24% on the right require only minimal modification. The amount and the location of the modifications are qualitatively and quantitatively assessed. We demonstrate that, although challenged by large inter-subject anatomical discrepancy, atlas-based segmentation of the thyroid gland in IMRT CT images is feasible by involving multiple atlases. The results show that a weighted combination of segmentations by atlases using the CC as the similarity measure slightly outperforms standard combination methods, e.g., the majority vote rule and STAPLE, as well as methods selecting one single most similar atlas. Results we have obtained suggest that using our contours as initial contours to be edited has clinical value.
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影响因子：
3.5
作者：
Bethge, W;Guggenberger, D;Bokemeyer, C
通讯作者：
Bokemeyer, C
DOI：
10.1016/j.ijrobp.2006.08.051
发表时间：
2007-01-01
影响因子：
7
作者：
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通讯作者：
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影响因子：
5.7
作者：
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通讯作者：
Malandain, Gregoire
影响因子：
4.8
作者：
DICE, LR
通讯作者：
DICE, LR
影响因子：
3.5
作者：
Deeley MA;Chen A;Datteri R;Noble JH;Cmelak AJ;Donnelly EF;Malcolm AW;Moretti L;Jaboin J;Niermann K;Yang ES;Yu DS;Yei F;Koyama T;Ding GX;Dawant BM
通讯作者：
Dawant BM