Quantitative Image Analysis Specialized Resource

定量图像分析专业资源

• 批准号: 8731107
• 负责人: HENRY SUNG-CHENG HUANG
• 金额: $ 9.88万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 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/8731107
• 关键词: Address; Algorithms; Animals; Area; Biological; Biological Assay; Cancer Biology; Computer software; Computers; Consultations; Data; Databases; Development; Devices; Discipline of Nuclear Medicine; Experimental Designs; Feedback; Growth; Human Resources; Image; Image Analysis; Imaging technology; In Vitro; Individual; Internet; Kinetics; Laboratories; Learning; Modeling; Mus; Performance; Portal System; Positron-Emission Tomography; Procedures; Protocols documentation; Quality Control; Research Personnel; Research Project Grants; Resources; Retrieval; Running; Schedule; Services; Statistical Data Interpretation; Statistical Models; Structure; System; Tissues; Tracer; Training; Work; X-Ray Computed Tomography; base; computer infrastructure; data acquisition; design; experience; file format; image registration; improved; in vivo Cellular and Molecular Imaging Centers; in vivo imaging; interest; molecular imaging; operation; optical imaging; programs; simulation; skills; user friendly software

QUANTITATIVE IMAGE ANALYSIS SPECIALIZED RESOURCE (DIRECTOR. HENRY HUANG, PH.D). D.3.1. Introduction: The Quantitative Image Analysis Specialized Resource is a continuing Specialized Resource. The QIASR provides essential image management and image analysis support to investigators using molecular imaging at UCLA. As imaging technologies advance rapidly and image analysis becomes increasingly sophisticated it is difficult and costly, if not impossible, for individual investigators to maintain their own image analysis capability. This Specialized Resource has been a key component of the nuclear medicine program at UCLA since late 1970's, and has been part of the ICMIC program since its inception. Recognizing the need for newer and improved computational capability to handle the huge volume growth of small animal imaging studies, and to serve an ever-increasing number of investigators, this resource has devoted a major effort to build the computational infrastructure in the past several years to facilitate the image management and image analysis services. The successful development of the Internet-based kinetic imaging system (KIS) (Huang et al. 2005b) for simulation and analysis of mouse PET images and a computer portal system for molecular imaging data access system (MIDAS) (Truong et al. 2008) are examples of these efforts.. The functions, capabilities, and features of these systems will be described in more details below (Section 0.3.3.). We also interact directly with investigators of research projects and staff of the Small Animal Imaging Specialized Resource to assist them in managing their large volumes of image data and in their image analyses. In addition, we work with them to learn more cleariy what services are needed by the investigators, in order to provide better service and to get their feedback. With these computational software infra-structures now in place and a better understanding of the investigators' needs, we believe that we can provide an elevated level of image analysis service to the ICMIC investigators, effectively, efficiently and economically.

定量图像分析专业资源（主任。HENRY HUANG， 博士）。 D.3.1。介绍： 定量图像分析专业资源是一个持续的专业资源。这 QIASR 为研究人员提供必要的图像管理和图像分析支持 加州大学洛杉矶分校分子成像。随着成像技术的快速发展，图像分析变得越来越重要。 日益复杂的情况下，对于个别研究人员来说，维持自己的图像分析能力即使不是不可能，也是困难且昂贵的。自 1970 年代末以来，这一专业资源一直是加州大学洛杉矶分校核医学项目的重要组成部分，并且自 ICMIC 项目启动以来一直是该项目的一部分。 认识到需要更新和改进的计算能力来处理小动物成像研究的巨大数量增长，并为越来越多的研究人员提供服务，该资源在过去几年中投入了大量精力来构建计算基础设施，以促进图像管理和图像分析服务。用于模拟和分析小鼠 PET 图像的基于互联网的动态成像系统（KIS）（Huang 等人，2005b）和用于分子成像数据访问系统（MIDAS）的计算机门户系统（Truong 等人，2008）的成功开发就是这些努力的例子。这些系统的功能、能力和特性将在下面更详细地描述（第 0.3.3 节）。我们还直接与研究项目的研究人员和小动物成像专业资源的工作人员互动，协助他们管理大量图像数据和进行图像分析。此外，我们与他们合作，更清楚地了解调查人员需要哪些服务，以便提供更好的服务并获得他们的反馈。随着这些计算软件基础设施的到位以及对研究人员需求的更好理解，我们相信我们可以有效、高效且经济地为 ICMIC 研究人员提供更高水平的图像分析服务。