Comprehensive Training Program in Imaging Science and Informatics

影像科学与信息学综合培训项目

• 批准号: 10606096
• 负责人: Mia K Markey
• 金额: $ 4.47万
• 依托单位: UNIVERSITY OF TEXAS AT AUSTIN
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10606096
• 关键词: Training Programs; imaging informatics; imaging science

The supplement application does not change the scope of work of the parent project. The over-arching theme of this proposal is to train “comprehensive imaging scientists” in the skills necessary to identify clinically relevant problems; develop instrumentation, sensors, and contrast agents to form images appropriate for the problem; and analyze the resulting imaging data using signal processing, mathematical modeling, visualization, and informatics techniques to improve the prevention, detection, diagnosis, and treatment of human diseases. The program spans from molecular to cellular to tissue to organ. In order for imaging scientists to be knowledgeable of the full trajectory from image formation to analysis and decision- making, they must be trained in four core areas: Instrumentation, Devices, and Contrast Agents; Image processing; Modeling and Visualization; and Data Mining and Informatics. All students in the program are trained in the core concepts of these areas. The current training program is a two-year pre-doctoral portfolio program. A total of 41 students have been admitted to the program. The proposed renewal will train another 20 students. The program includes off-campus externship research experiences; in- depth clinical engagement; and a wide-ranging professional development component. Imaging Science is an integral element of basic science research and clinical medicine. Imaging cell trafficking and receptor pharmacology in vivo have already led to targeted drug and gene therapies and an understanding of cellular biochemical pathways will contribute to new advances in medicine. Individualized medicine relies heavily on imaging techniques to select the best therapies and monitor progress. Although structural in situ human imaging is already a critical component of clinical medicine, many advances are needed in functional imaging of the brain and other organs to improve healthcare. Brain mapping which is a core focus of NIH research relies heavily on imaging. We have identified a critical need for imaging scientists to develop new imaging instrumentation and apply that instrumentation with appropriate methods from image processing; modeling and visualization; and informatics and data mining. In recognition of the potential of artificial intelligence to transform medical imaging, our program emphasizes applications of machine learning. This training program fills a critical niche by providing highly skilled scientists who are trained in the broad trajectory of imaging science. Understanding the interplay between instrumentation and image analysis, including machine learning methods, is important for designing the next generation of hardware and software tools for quantifying complex biological systems and providing robust clinical tools. A key outcome of the program is that trainees gain the skills necessary to identify clinically relevant problems.

补充申请不会改变父项目的工作范围。 这项建议的总体主题是培训“综合成像科学家”，掌握必要的技能，以便 确定临床相关问题；开发仪器、传感器和造影剂以形成图像 适用于该问题；并使用信号处理、数学 建模、可视化和信息学技术，以改进预防、检测、诊断和 人类疾病的治疗。该计划涵盖了从分子到细胞、从组织到器官的各个阶段。为了 成像科学家了解从成像到分析和决策的完整轨迹- 制作，他们必须在四个核心领域进行培训：仪器、设备和造影剂；图像 处理；建模和可视化；数据挖掘和信息学。 该项目的所有学生都接受了这些领域核心概念的培训。目前的培训计划是 为期两年的博士预科课程。共有41名学生被该项目录取。建议数 续签将再培训20名学生。该项目包括校外研究经验；在- 深入的临床参与；以及广泛的专业发展组成部分。影像科学是一门 基础科学研究和临床医学不可或缺的要素。影像细胞转运与受体 体内的药理学已经导致了有针对性的药物和基因治疗，以及对细胞 生化途径将有助于医学的新进展。个性化医疗严重依赖于 影像技术，以选择最佳的治疗方法和监测进展。尽管结构原位人体成像 已经是临床医学的重要组成部分，但在脑功能成像方面还需要许多进展 和其他器官来改善医疗保健。脑成像是美国国立卫生研究院研究的核心焦点，它严重依赖于 成像。我们已经确定了成像科学家开发新的成像仪器和 利用图像处理、建模和可视化方面的适当方法应用该仪器；以及 信息学和数据挖掘。认识到人工智能改变医学成像的潜力， 我们的课程重点是机器学习的应用。该培训计划通过提供以下服务来填补关键的利基市场 在成像科学的广阔发展轨道上接受过培训的高技能科学家。了解相互影响 仪器和图像分析之间的关系，包括机器学习方法，对于设计 下一代硬件和软件工具，用于量化复杂的生物系统并提供健壮的 临床工具。该计划的一个关键成果是，受训者获得了识别临床相关性所需的技能 有问题。