Image Analysis and Biostatistics

图像分析和生物统计学

• 批准号: 7729476
• 负责人: BRADLEY J BEATTIE
• 金额: $ 6.65万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7729476
• 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; 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将执行的任务和服务分为六大类 类别：1)向ICMIC提供更多的计算和集中图像存储设施 调查人员，从而促进项目之间的数据共享；2)进行专门的图像处理和 显示可用的软件，允许共享软件许可证并集中支持；3) 为执行专门的处理和分析提供软件开发能力 包括批量处理任务的自动化、格式转换和新的 算法；4)就成像协议、最佳采集设置、定量和 关于示踪剂动力学的建模；5)在研究的设计和分析中提供生物统计学专业知识 进行研究，并对这些研究产生的数据进行统计分析和建模；以及6) 开展研究，以开发共同受益于ICMIC项目的新能力。 图像分析和生物统计资源建议在以下背景下存在(并已经存在) 更大的MSKCC核心设施环境，包括大量的计算机信息系统和 生物统计学支持。然而，这些医院范围的资源并不能满足专科医生的需要 ICMIC方案，特别是在图像采集、处理和分析方面 这些程序对于ICMIC项目来说是共同的，也是有些独特的。为了满足这些特殊需求，一个 过去和现在都需要新的资源。将成像和生物统计学组件结合在一起 整合为单一资源，以促进这两个元素之间的通信，从而促进 对整个分析流程中的图像数据进行完整和一致的统计处理。