Auto-segmentation of head and neck organs at risk in radiotherapy and its dependence on anatomic similarity
Auto-segmentation of head and neck organs at risk in radiotherapy and its dependence on anatomic similarity
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DOI：
10.3857/roj.2019.00038
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发表时间：
2019-06-01
影响因子：
2.3
通讯作者：
Madineni, Aneesha
中科院分区：
文献类型：
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作者：
Ayyalusamy, Anantharaman;Vellaiyan, Subramani;Madineni, Aneesha
目的：目的是研究基于变形的头颈部危险器官（OAR）自动分割对基于单个图谱的系统的解剖匹配的依赖性，并生成可接受的轮廓集。使用10名中立颈部位置的患者样本和3个图谱集，每个图谱集由10名不同头部和颈部位置的患者组成，以生成3个表示不良，分别进行平均和完美解剖匹配，并对每个场景进行自动分割。脑干、喉、下颌骨、颈食管、口腔、咽肌、腮腺、脊髓和气管是本研究选择的结构。自动和肿瘤学家的参考轮廓进行了比较，使用骰子相似性指数（DSI），Hausdroff距离和质量中心（COM）的变化。下颌骨、口腔、喉、腮腺、脊髓和气管的评分在匹配不良的情况下不可接受，但在增强骨匹配的情况下得到改善，而颈食管和咽肌的评分甚至在完美匹配的情况下也低于可接受的评分。HD值和COM的变化减少了更好的匹配为所有的结构。结论：改进的解剖匹配导致更好的分割。至少一个类似的设置可以帮助在采用单图谱方法的系统中生成一组可接受的自动轮廓。平均匹配场景的自动轮廓对于大多数结构是可接受的。对于基于单个图谱的系统，在图谱生成期间应重视头部和颈部位置。
Purpose: The aim is to study the dependence of deformable based auto-segmentation of head and neck organs-at-risks (OAR) on anatomy matching for a single atlas based system and generate an acceptable set of contours.Methods: A sample of ten patients in neutral neck position and three atlas sets consisting of ten patients each in different head and neck positions were utilized to generate three scenarios representing poor, average and perfect anatomy matching respectively and auto-segmentation was carried out for each scenario. Brainstem, larynx, mandible, cervical oesophagus, oral cavity, pharyngeal muscles, parotids, spinal cord, and trachea were the structures selected for the study. Automatic and oncologist reference contours were compared using the dice similarity index (DSI), Hausdroff distance and variation in the centre of mass (COM).Results: The mean DSI scores for brainstem was good irrespective of the anatomy matching scenarios. The scores for mandible, oral cavity, larynx, parotids, spinal cord, and trachea were unacceptable with poor matching but improved with enhanced bony matching whereas cervical oesophagus and pharyngeal muscles had less than acceptable scores for even perfect matching scenario. HD value and variation in COM decreased with better matching for all the structures.Conclusion: Improved anatomy matching resulted in better segmentation. At least a similar setup can help generate an acceptable set of automatic contours in systems employing single atlas method. Automatic contours from average matching scenario were acceptable for most structures. Importance should be given to head and neck position during atlas generation for a single atlas based system.