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首页> 外文期刊>Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology >Atlas-based delineation of lymph node levels in head and neck computed tomography images.
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Atlas-based delineation of lymph node levels in head and neck computed tomography images.

机译：头颈部计算机断层扫描图像中基于图集的淋巴结水平描绘。

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摘要

PURPOSE: Radiotherapy planning requires accurate delineations of the tumor and of the critical structures. Atlas-based segmentation has been shown to be very efficient to automatically delineate brain critical structures. We therefore propose to construct an anatomical atlas of the head and neck region. METHODS AND MATERIALS: Due to the high anatomical variability of this region, an atlas built from a single image as for the brain is not adequate. We address this issue by building a symmetric atlas from a database of manually segmented images. First, we develop an atlas construction method and apply it to a database of 45 Computed Tomography (CT) images from patients with node-negative pharyngo-laryngeal squamous cell carcinoma manually delineated for radiotherapy. Then, we qualitatively and quantitatively evaluate the results generated by the built atlas based on Leave-One-Out framework on the database. RESULTS: We present qualitative and quantitative results using this atlas construction method. The evaluation was performed on a subset of 12 patients among the original CT database of 45 patients. Qualitative results depict visually well delineated structures. The quantitative results are also good, with an error with respect to the best achievable results ranging from 0.196 to 0.404 with a mean of 0.253. CONCLUSIONS: These results show the feasibility of using such an atlas for radiotherapy planning. Many perspectives are raised from this work ranging from extensive validation to the construction of several atlases representing sub-populations, to account for large inter-patient variabilities, and populations with node-positive tumors.
机译：目的：放射治疗计划需要准确描述肿瘤和关键结构。基于图集的分割已被证明非常有效地自动描绘出大脑的关键结构。因此，我们建议构建头部和颈部区域的解剖图集。方法和材料：由于该区域的高度解剖变异性，因此从大脑单个图像构建的地图集是不够的。我们通过从手动分割的图像数据库中建立对称图集来解决此问题。首先，我们开发了一种图集构建方法，并将其应用于45个计算机断层扫描（CT）图像数据库中，这些图像来自手动划定用于放射治疗的淋巴结阴性咽喉鳞状细胞癌患者。然后，我们基于数据库中的“留一法”框架，定性和定量地评估由构建图集生成的结果。结果：我们使用这种图集构建方法给出了定性和定量结果。在45位患者的原始CT数据库中，对12位患者的子集进行了评估。定性结果描述了视觉上轮廓分明的结构。定量结果也很好，最佳可实现结果存在误差，范围从0.196到0.404，平均值为0.253。结论：这些结果表明使用这种图谱进行放射治疗计划的可行性。这项工作提出了许多观点，从广泛验证到构建代表亚群的若干图集，以解释患者之间的巨大差异以及淋巴结阳性肿瘤人群。

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