Medical Imaging Technology Development Core

医学影像技术开发核心

• 批准号: 10573274
• 负责人: Hong Liu
• 金额: $ 45.46万
• 依托单位: UNIVERSITY OF OKLAHOMA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-15 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10573274
• 关键词: Address; Algorithmic Software; Area; Biomedical Engineering; Cancer Center; Centers of Research Excellence; Characteristics; Cities; Clinical; Clinical Research; Collaborations; Collection; Communities; Computer Assisted; Computer software; Computers; Consumption; Custom; Data; Dedications; Development; Devices; Doctor of Philosophy; Educational workshop; Emerging Technologies; Engineering; Equipment; Evaluation Research; Fluorescence; Foundations; Funding; Future; Goals; Image; Imaging Device; Imaging Techniques; Imaging technology; Industry; Infrastructure; Interdisciplinary Study; Laboratories; Laboratory Research; Leadership; Learning; Learning Module; Libraries; Machine Learning; Medical Imaging; Medical Informatics; Medical center; Medicine; Methods; Mission; Multimodal Imaging; Oklahoma; Outcome; Patients; Phase; Phenotype; Physicians; Pilot Projects; Reader; Reading; Research; Research Personnel; Research Project Grants; Research Support; Resource Sharing; Resources; Roentgen Rays; Scheme; Series; Services; Software Tools; Solid; Surveys; System; Testing; Time; Training; Translational Research; Universities; Work; X-Ray Medical Imaging; anticancer research; college; cost; cost effective; deep learning; design; digital pathology; experience; flexibility; image processing; imaging biomarker; imaging facilities; imaging informatics; imaging modality; imaging study; improved; informatics tool; innovation; interest; machine learning model; machine learning prediction; meetings; member; new technology; operation; optical imaging; programs; quantitative imaging; radiomics; research and development; synergism; technology development; tomography; tool; transfer learning; translational cancer research; tumor

ABSTRACT – Medical Imaging Technology Development Core The objective of the Medical Imaging Technology Development Core (MITDC) is to build an infrastructure to support research of the junior research project leaders (RPLs) and overarching goal of this COBRE. The Core will be built based on the OU Advanced Medical Imaging Center (OU-AMIC), which has been supported by both the Gallogly College of Engineering University of Oklahoma (OU) Norman campus and the Stephenson Cancer Center of OUHSC campus since 2012. OU-AIMC includes 5 research laboratories and an established network between the engineering and clinical expertise to facilitate the interdisciplinary research. OU-AIMC provides a solid foundation for this MITDC to provide important resource for RPLs and pilot project awardees of the COBRE. The MITDC Core has 3 Specific Aims. Aim 1: We will implement an interdisciplinary management plan to build an optimal infrastructure to support translational medical imaging related cancer research. The Core will be co- directed by an experienced engineer and a physician researcher. An advisory board of senior engineering and physician researchers will be established to guide the development and operation of the Core. Existing imaging equipment and other tools will be integrated to serve COBRE projects, along with equipment and services available by industry and clinical collaboration. Monthly brainstorming meetings, on demand tours, round table discussions, and biannual open house workshops will facilitate interaction between members of the Core and researchers on both OU Norman and OUHSC campuses. These activities will allow the Core to better understand researcher needs and provide opportunities for researchers to learn new imaging technologies that can benefit their research. Aim 2: We will design and develop a series of investigative imaging tools and testbeds to provide researchers fast and cost-effective methods to test their innovative research concepts. Using testbeds of new imaging modalities, the researchers will be able to acquire preliminary data to validate their hypotheses without the expensive and time-consuming development of a fully equipped laboratory. Based on the research areas of the initially selected RPL projects and other junior researchers in the COBRE pool, the testbeds will include, but are not limited to, phase-contrast X-ray imaging, X-ray fluorescence tomography, digital pathology scanners, and special optical imaging devices. Aim 3: We will build an integrated computer server/network and provide new computer-aided quantitative image feature analysis schemes and software to support the RPLs and other researchers to conduct large data and deep transfer learning-based Radiomics studies. This will improve the efficiency and consistency of developing and validating quantitative image markers and/or machine learning prediction models developed by different projects. In summary, MITDC will provide a unique research service and supporting capability to enhance the overarching goal of this COBRE. It will not merely be a collection of imaging equipment in a distinct space, it will also allow us to fully network our current research expertise to better support the translational cancer research using medical imaging technology to benefit patients in the future.

摘要-医学成像技术开发核心 医学成像技术开发核心（MITDC）的目标是建立一个基础设施， 支持初级研究项目负责人（RPL）的研究和COBRE的总体目标。核心 将建立在先进的医学成像中心（OU-AMIC）的基础上，该中心得到了双方的支持。 加洛格利工程学院、俄克拉荷马州（OU）诺曼校区和斯蒂芬森癌症中心 自2012年以来，OUHSC校园中心。OU-AIMC包括5个研究实验室和一个成熟的网络 工程和临床专业知识之间的联系，以促进跨学科研究。OU-AIMC提供了一个 为这个MITDC提供坚实的基础，为RPL和COBRE的试点项目获奖者提供重要的资源。 MITDC核心有三个具体目标。目标1：我们将实施跨学科管理计划， 支持转化医学成像相关癌症研究的最佳基础设施。核心将是共同的， 由一位经验丰富的工程师和一位医生研究员指导。高级工程师顾问委员会， 将建立医师研究人员，以指导核心的开发和运作。现有成像 设备和其他工具将与设备和服务一起，沿着为COBRE项目服务 可通过行业和临床合作获得。每月集思广益会议、按需图尔斯参观、圆桌会议 讨论和一年两次的开放式讲习班将促进核心小组成员之间的互动， 诺曼大学和俄亥俄州立大学的研究人员。这些活动将使核心更好地了解 研究人员需要并为研究人员提供学习新成像技术的机会， 他们的研究。目标2：我们将设计和开发一系列调查成像工具和测试平台， 研究人员快速和具有成本效益的方法来测试他们的创新研究概念。使用新的试验台 成像模式，研究人员将能够获得初步数据，以验证他们的假设， 建立一个设备齐全的实验室既昂贵又耗时。基于以下研究领域， 最初选定的RPL项目和COBRE人才库中的其他初级研究人员，测试平台将包括， 不限于相衬X射线成像、X射线荧光断层扫描、数字病理扫描仪， 和专用光学成像装置。目标3：我们将建立一个综合的计算机服务器/网络， 新的计算机辅助定量图像特征分析方案和软件，以支持可重复使用许可证和其他 研究人员进行基于大数据和深度迁移学习的放射组学研究。这将改善 开发和验证定量图像标记和/或机器学习的效率和一致性 不同项目开发的预测模型。总之，MITDC将提供独特的研究服务， 和支持能力，以加强这个COBRE的总体目标。它将不仅仅是一个集合， 成像设备在一个独特的空间，它也将使我们能够充分网络我们目前的研究专业知识，以更好地 支持利用医学成像技术进行转化癌症研究，以造福未来的患者。