VISIBLE KOREAN HUMAN

可见的韩国人

• 批准号: 8171843
• 负责人: ART WETZEL
• 金额: $ 0.14万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171843
• 关键词: Authorization documentation; Collaborations; Computer Retrieval of Information on Scientific Projects Database; Data; Data Analyses; Data Set; Female; Funding; Future; Grant; Human; Image; Imagery; Institution; Koreans; Magnetic Resonance Imaging; Masks; Optics; Organ; Research; Research Personnel; Resolution; Resources; Slice; Source; United States National Institutes of Health; Work; abstracting; tool development

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Keywords: Volume data analysis, visualization and distribution collaboration Abstract: We have obtained the complete optical Visible Korean Human (VKH). This is a full body that has been imaged at 200 micron isotropic resolution resulting in 8704 slices with the total volumetric dataset being 86 GBytes. The dataset also includes some alpha segmented masks for a number of major organs. We have obtained permission to provide public access to this dataset. In the future, we expect to obtain the CT and MRI data for the VKH, plus the female when completed. Once we have successfully served their data, we hope to continue the development of tools for working with these large to very large datasets.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 中心，不一定是研究者的机构。 关键词： 体数据分析、可视化和 分销协作 抽象的： 我们获得了完整的光学可见韩国人（VKH）。这是 以 200 微米各向同性分辨率成像的全身 生成 8704 个切片，总体积数据集为 86 GB。 该数据集还包括一些主要的 alpha 分段掩模 器官。我们已获得向公众提供此信息的许可 数据集。未来，我们预计将获得CT和MRI数据 VKH，加上完成后的女性。一旦我们成功服务 他们的数据，我们希望继续开发与他们合作的工具 这些大到非常大的数据集。