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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Segmentation of pituitary adenoma: A graph-based method vs. a balloon inflation method
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Segmentation of pituitary adenoma: A graph-based method vs. a balloon inflation method

机译：垂体腺瘤的分割：基于图的方法与球囊扩张方法

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摘要

Among all abnormal growths inside the skull, the percentage of tumors in sellar region is approximately 10-15%, and the pituitary adenoma is the most common sellar lesion. A time-consuming process that can be shortened by using adequate algorithms is the manual segmentation of pituitary adenomas. In this contribution, two methods for pituitary adenoma segmentation in the human brain are presented and compared using magnetic resonance imaging (MRI) patient data from the clinical routine: Method A is a graph-based method that sets up a directed and weighted graph and performs a min-cut for optimal segmentation results: Method B is a balloon inflation method that uses balloon inflation forces to detect the pituitary adenoma boundaries. The ground truth of the pituitary adenoma boundaries - for the evaluation of the methods - are manually extracted by neurosurgeons. Comparison is done using the Dice Similarity Coefficient (DSC), a measure for spatial overlap of different segmentation results. The average DSC for all data sets is 77.5 ± 4.5% for the graph-based method and 75.9 ± 7.2% for the balloon inflation method showing no significant difference. The overall segmentation time of the implemented approaches was less than 4. s - compared with a manual segmentation that took, on the average, 3.9 ± 0.5. min.
机译：在颅骨内所有异常生长中，蝶鞍区肿瘤的百分比约为10-15％，而垂体腺瘤是最常见的蝶鞍病变。可以通过使用适当的算法来缩短的耗时过程是垂体腺瘤的手动分割。在此贡献中，提出了两种用于人脑垂体腺瘤分割的方法，并使用了来自临床常规的磁共振成像（MRI）患者数据进行了比较：方法A是基于图的方法，该方法可建立有向图和加权图并执行为获得最佳分割效果的最小切割：方法B是一种球囊扩张方法，它使用球囊扩张力来检测垂体腺瘤边界。垂体腺瘤边界的地面真相-用于评估方法-由神经外科医生手动提取。使用骰子相似系数（DSC）进行比较，骰子相似系数是不同细分结果在空间上的重叠程度。对于所有基于数据集的数据，基于图的方法的平均DSC为77.5±4.5％，对于球囊膨胀方法的平均DSC为75.9±7.2％，无显着差异。所实施方法的总分割时间少于4 s-与手动分割相比平均要花费3.9±0.5。分钟

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