Quantitative Image Analysis Specialized Resource

定量图像分析专业资源(主任。黄英年， 博士)。 D.3.1。导言： 定量图像分析专业资源是一种持续的专业资源。这个 QIASR为调查人员提供基本的图像管理和图像分析支持，使用 加州大学洛杉矶分校的分子成像。随着成像技术的快速发展，图像分析成为 日益复杂的是，个别调查人员要维持自己的图像分析能力，即使不是不可能，也是困难和昂贵的。自20世纪70年代末S以来，这一专业资源一直是加州大学洛杉矶分校核医学计划的关键组成部分，自ICMIC计划成立以来一直是该计划的一部分。 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容量增长，并为不断增加的调查人员提供服务，该资源在过去几年中投入了大量精力来建立计算基础设施，以促进图像管理和图像分析服务。基于互联网的动态成像系统(KIS)的成功开发(Huang et al.2005b)，用于模拟和分析小鼠PET图像和用于分子成像数据访问系统(MIDAS)的计算机门户系统(Truong等.2008)就是这些努力的例子。下面将更详细地描述这些系统的功能、能力和特点(第0.3.3节)。我们还与研究项目的研究人员和小动物成像专门资源的工作人员直接互动，以帮助他们管理其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。有了这些计算软件基础设施，并更好地了解调查人员的需求，我们相信我们可以有效、高效和经济地为ICMIC调查人员提供更高水平的图像分析服务。

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.