Biomedical Imaging Informatics Core

生物医学成像信息学核心 生物医学成像信息学核心（Bll）将提供在 网络进入NIH赞助的国家癌症成像档案馆（NCIA）和癌症生物信息学 网格（caBIG）程序。Bll由Fred Prior博士指导，并由电子 WUSTL的放射学实验室（ERL）。普赖尔博士和ERL的其他成员一直积极参与 caBIG的成像工作空间和实验室是可扩展成像平台项目的主承包商 [91].此外，ERL还开发了一个NCIA的非NCI实例，目前正用于捕获 数字化病理切片图像作为NCI试点项目的一部分。世界银行将大量借鉴这一经验 基地除了参与CABIG之外，ERL还为国家肺脏开发了一个图像库， 筛选试验[92]，是3项正在进行的多中心临床试验的成像核心。ERL开发了一个 一套完整的软件工具和操作程序，以支持基于成像的临床试验。ERL工作人员 包括Prior博士和摩尔先生在内的委员会成员在DICOM医疗标准方面拥有丰富的经验。 图像通信，包括共同作者的原始标准（事先）和作者的第一，开放 源代码，参考实现（摩尔）[93]。 为了支持此NTR应用程序，ERL将建立一个基础架构，用于捕获和管理所有图像 由WUSTL网络生成的数据。这项工作的重点将是ERL中的NCIA实例， 将扩展到支持光学和光声图像。ERL还将创建一个或多个目标图像 使用XIP构建器工具分析应用程序。新的DICOM数据格式，支持光声、光学 成像和特定临床前成像类型（小动物成像）将被定义和原型化，作为 这个项目ERL还将支持WUSTL网络成员之间的协作和数据共享， 更广泛的NTR网络。

Biomedical Imaging Informatics Core The Biomedical Imaging Informatics core (Bll) will provide critical integration imaging data generated within the network into the NIH sponsored National Cancer Imaging Archive (NCIA) and the cancer Bioinformatics Grid (caBIG) program. The Bll be directed by Dr. Fred Prior and staffed by members of the Electronic Radiology Laboratory (ERL) at WUSTL. Dr. Prior and other member of ERL have been actively involved in caBIG's imaging workspace and the lab is the prime contractor on the extensible Imaging Platform project [91]. In addition ERL has developed a non-NCI instance of NCIA which is currently being used to capture digitized pathology slide images as part of an NCI pilot project. The Bll will draw heavily on this experience base. In addition to its caBIG involvement ERL has developed an image library for the National Lung Screening Trial [92] and is the imaging core for 3 on-going multi-center clinical trials. ERL has developed a complete suite of software tools and operational procedures to support imaging based clinical trials. ERL staff members including Dr. Prior and Mr. Moore have extensive experience with the DICOM standard for medical image communication, including being a co-author of the original standard (Prior) and author of the first, open source, reference implementation (Moore) [93]. In support of this NTR application, ERL will establish an infrastructure for capturing and managing all image data generated by the WUSTL network. The focal point of this effort will be the NCIA instance in ERL which will be extended to support optical and photoacoustic images. ERL will also create one or more targeted image analysis applications using the XIP builder tool. New DICOM data formats to support photoacoustic, optical imaging and specific pre-clinical image types (small-animal imaging) will be defined and prototyped as part of this project. ERL will also support collaboration and data sharing among members of the WUSTL network and the broader NTR network.