Image Analysis and Biostatistics

图像分析和生物统计学

• 批准号: 8110600
• 负责人: BRADLEY J BEATTIE
• 金额: $ 12.14万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8110600
• 关键词: Address; Algorithms; Automation; Biometry; Categories; Communication; Computer software; Computers; Consult; Core Facility; Data; Development; Elements; Environment; Goals; Hospitals; Image; Image Analysis; Information Systems; Kinetics; Licensing; Memorial Sloan-Kettering Cancer Center; Modeling; Performance; Procedures; Process; Protocols documentation; Research; Research Personnel; Resources; Services; Tracer; data modeling; data sharing; design; falls; image processing; in vivo Cellular and Molecular Imaging Centers; programs; research study; software development

The tasks and services to be performed by the Image Analysis and Biostatistics Resource fall into six broad categories: 1) to make additional computational and centralized image storage facilities available to ICMIC investigators thereby facilitating data sharing between projects; 2) to make specialized image processing and display software available, allowing the sharing of the software licenses and centralizing support; 3) to provide software development capabilities for the performance of specialized processing and analyses including the automation of bulk processing tasks, format conversions and the development of new algorithms; 4) to consult on issues regarding imaging protocols, optimal acquisition settings, quantitation and on the modeling of tracer kinetics; 5) to provide biostatistical expertise in the design and analysis of research studies and to conduct statistical analyses and modeling of data generated by those studies; and 6) to conduct research leading to the development of new capabilities of common benefit to the ICMIC projects. The Image Analysis and Biostatistics Resource is proposed to exist (and has existed) within the context of the larger MSKCC core facility environment which includes substantial computer information systems and biostatistical support. However, these hospital wide resources do not address the specialized needs of an ICMIC program, particularly with regard to aspects of the image acquisition, processing and analysis procedures that are common and somewhat unique to the ICMIC projects. To fill these specialized needs, a new resource was and continues to be warranted. The imaging and biostatistics components were combined into a single resource in order to facilitate communication between these two elements, thus promoting a complete and consistent statistical handling of the image data along the entire analysis pipeline.

图像分析和生物统计资源要执行的任务和服务分为六大类 类别：1) 为 ICMIC 提供额外的计算和集中图像存储设施 研究人员从而促进项目之间的数据共享； 2）进行专门的图像处理和 显示可用软件，允许共享软件许可证并集中支持； 3）到 提供用于执行专业处理和分析的软件开发能力 包括批量处理任务的自动化、格式转换和新的开发 算法； 4) 咨询有关成像协议、最佳采集设置、定量和 示踪动力学建模； 5) 提供研究设计和分析方面的生物统计专业知识 研究并对这些研究产生的数据进行统计分析和建模；和 6) 到 开展研究，开发新的能力，使 ICMIC 项目共同受益。 图像分析和生物统计资源建议在以下背景下存在（并且已经存在）： 更大的 MSKCC 核心设施环境，其中包括大量计算机信息系统和 生物统计支持。然而，这些医院范围内的资源并不能满足患者的特殊需求。 ICMIC 计划，特别是在图像采集、处理和分析方面 ICMIC 项目常见且有些独特的程序。为了满足这些特殊需求， 新的资源过去和现在都是必要的。成像和生物统计学部分相结合 整合为单一资源，以促进这两个要素之间的沟通，从而促进 对整个分析流程中的图像数据进行完整且一致的统计处理。