LUNG SEGMENTATION

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 关键词： 体数据分析、可视化和 分销协作 摘要： 斯皮策的团队最近完成了一个100微米量级的躯干 各向同性分辨率。体积数据集的起点正好在 肩部到横隔膜正下方的球窝关节(3199 切片，缺少1个切片)，产生110 GB的数据集。在.期间 准备躯干时，动脉内充斥着红色乳胶 油漆，静脉里填满了蓝色乳胶油漆，还有呼吸系统 里面装满了黄色乳胶漆。斯皮策的团队已经完成了一些 肺上的分割，识别三到四个不同的水平 关于分支的。我们的目标是最初加载他们的数据以及所有 他们已经完成的分段掩码，以向他们提供私有 允许他们继续分割肺部的服务器。肺 尤其有问题，因为有三种不同的系统： 形成气囊周围毛细血管的动脉和静脉。因此， 尽管该地区看起来空荡荡的，但很难获得 完整、准确的分割。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Keywords: Volume data analysis, visualization and distribution collaboration Abstract: Spitzer's group recently finished a torso on the order of 100 micron isotropic resolution. The volumetric dataset starts just above the ball and socket joint in the shoulder to just below the diaphram (3199 slices, 1 slice is missing) resulting in a 110 GByte dataset. During the preparation of the torso, the arteries were filled with red latex paint, veins were filled with blue latex paint, and the respiratory system was filled with yellow latex paint. Spitzer's group has completed some segmentation on the lungs, identifying three to four different levels of branching. Our goal is to initially load their data plus all segmentation masks that they have completed to provide them with a private server that will allow them to continue segmenting the lungs. The lungs are especially problematic in that there are three different systems: arteries and veins forming the capilaries around the air sacs. Thus, although the region appears to be empty, it will be difficult to get a complete and accurate segmentation.