论文标题
治疗后的3D分割用于测量小儿脑肿瘤结果：审查可用的免费工具，分步说明以及临床实践的应用
Utilization of 3D segmentation for measurement of pediatric brain tumor outcomes after treatment: review of available free tools, step-by-step instructions, and applications to clinical practice
论文作者
论文摘要
与一维测量相比，已知体积测量可提供更多信息，从而提供更多信息，因此可以导致更好的知情治疗。在这项工作中，我们会查看可用于进行这些3D测量值的免费且易于访问的计算机平台，例如Horos和3D SliCer，并将分段与商业上的Vieage软件进行比较。我们比较了肿瘤的3D分割的时间，并演示了如何使用我们在3D切片机中开发的新型插件来进行肿瘤的囊性成分的有效和精确分割。
Volumetric measurements are known to provide more information when it comes to segmenting tumors, in comparison to one- and two-dimensional measurements, and thus can lead to better informed therapy. In this work, we review the free and easily accessible computer platforms available for conducting these 3D measurements, such as Horos and 3D Slicer and compare the segmentations to commercial Visage software. We compare the time for 3D segmentation of tumors and demonstrate how to use a novel plugin that we developed in 3D slicer for the efficient and accurate segmentation of the cystic component of a tumor.
