使用3D Slicer医学图像计算平台进行GBM容积测定
GBM Volumetry using the 3D Slicer Medical Image Computing Platform
摘要：
多形性胶质母细胞瘤（GBM）随时间的体积变化是治疗决策的关键因素。通常，使用以规则间隔获得的MRI扫描在逐切片的基础上计算肿瘤体积。（3D）Slicer --一个免费的生物医学研究平台--为这种手动逐片分割过程提供了一种替代方案，它的速度明显更快，需要更少的用户交互。在这项研究中，4名医生对10名患者的GBM进行了分割，一次是使用Slicer的基于竞争区域生长的GrowCut分割模块，一次是完全手动逐层绘制边界。此外，我们提供了一个变异性分析的三个医生为12 GBM。GrowCut分割所需的时间平均为纯手动分割所需时间的61%。基于切片器的分割与手动逐切片分割的比较结果显示，Dice相似系数为88.43 +/- 5.23%，Hausdorff距离为2.32 +/- 5.23 mm。
英文摘要：
Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer - a free platform for biomedical research - provides an alternative to this manual slice-by-slice segmentation process, which is significantly faster and requires less user interaction. In this study, 4 physicians segmented GBMs in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis. Furthermore, we provide a variability analysis for three physicians for 12 GBMs. The time required for GrowCut segmentation was on an average 61% of the time required for a pure manual segmentation. A comparison of Slicer-based segmentation with manual slice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43 +/- 5.23% and a Hausdorff Distance of 2.32 +/- 5.23 mm.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
