IEEE Medical Imaging Conference

IEEE 医学影像会议

• 批准号: 10259775
• 负责人: Georges El Fakhri
• 金额: $ 1万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-09 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10259775
• 关键词: Academia; Animals; Area; Artificial Intelligence; Attention; Award; Biological; Biomedical Engineering; Brain; Clinical Management; Collaborations; Communities; Complement; Computer software; Computing Methodologies; Detection; Development; Diagnosis; Disabled Persons; Discipline of Nuclear Medicine; Disease Management; Education; Educational Activities; Educational workshop; Emission-Computed Tomography; Engineering; Evaluation; Exposure to; Fees; Fostering; Funding; Gamma Rays; Generations; Government; Grant; Housing; Image; Image Analysis; Imaging technology; Industrialization; Industry; Institution; International; Italy; Japan; Joints; Kinetics; Lead; Learning; Machine Learning; Magnetic Resonance Imaging; Mathematics; Medical Care Costs; Medical Imaging; Medical Technology; Methods; Minority; Modeling; Modernization; Monitor; Multimodal Imaging; Nuclear; Optics; Oral; Participant; Photons; Physics; Positron-Emission Tomography; Postdoctoral Fellow; Radiation therapy; Research; Research Personnel; Research Project Grants; Resolution; Roentgen Rays; Running; Scientist; Semiconductors; Signal Transduction; Students; Suggestion; System; Techniques; Technology; Temperature; Therapeutic Intervention; Time; Tracer; Translations; Ultrasonography; Underrepresented Populations; United States National Institutes of Health; Woman; Work; base; clinical imaging; clinical practice; cost; deep learning; design; detector; disability; graduate student; image processing; image reconstruction; imaging modality; innovation; instrumentation; interest; kinetic model; meetings; member; models and simulation; multidisciplinary; multimodality; nanoparticle; novel; nuclear science; parametric imaging; portability; posters; programs; public education; quantitative imaging; radiation detector; reconstruction; signal processing; statistics; symposium; theranostics

Abstract The IEEE Medical Imaging Conference (MIC) is the leading international scientific meeting bringing together a broad community interested in the physics, engineering and mathematical aspects of medical imaging, with special emphasis on nuclear medicine and multi-modal systems. The MIC runs in conjunction with the IEEE Nuclear Science Symposium (NSS) and the Workshop on Room Temperature Semiconductor X-ray and Gamma-ray Detectors (RTSD). The purpose of the MIC is to disseminate and foster new research in physics and bio-engineering methods in medical imaging. While the traditional topics of primary interest are related to nuclear medicine techniques such as positron emission tomography (PET) and single photon emission computerized tomography (SPECT), increasing space will be also given to recently evolving imaging modalities such as X-ray, CT, optical, MR, with special emphasis on their multi-modal combination with nuclear medical imaging. Recently there has also been additional interest in employing deep learning and AI to enhance the field medical imaging. The conference provides a well-established forum of scientific exchange and dialogue between researchers in academia, industry, and government as well as education of the public, with special emphasis on young generations. This is reflected by the large spectrum of educational refresher sessions and short courses. One of the major objectives of the conference is the education of young investigators, and therefore this NIH R13 proposal seeks $10,000 in funding for each of the next three years to provide 20 trainee grants of $500 each to partially cover costs of MIC conference registration, housing and/or short course fees for graduate students and postdoctoral fellows based at US institutions. We anticipate that the main impact of this grant program will be to increase attendance of students and postdocs at the 2020 meeting, especially those typically underrepresented, as well as to support their participation in educational activities. It is important to bring young generations, especially women, minorities, and those with disabilities, into the medical imaging field, where they could become main actors in the coming years. They will attend plenary and oral presentations given by many of the world leaders in the nuclear medical imaging instrumentation, image processing, and quantitative analysis fields. Moreover, they will be given the unique opportunity of direct personal interaction through the short courses and dedicated poster presentations. In turn their work will be exposed to the other participants for critical evaluation, constructive suggestions and dissemination. Furthermore, many of these trainees will likely continue in this field, thereby contributing to advancing technology with high societal relevance as being increasingly used in the clinical management of disease and therapeutic interventions.

抽象的 IEEE 医学影像会议 (MIC) 是领先的国际科学会议 汇集了对物理、工程和数学方面感兴趣的广泛社区 医学成像，特别强调核医学和多模态系统。 MIC 运行于 与 IEEE 核科学研讨会 (NSS) 和室温研讨会联合举办 半导体 X 射线和伽马射线探测器 (RTSD)。 MIC 的目的是传播和促进物理学和生物工程领域的新研究 医学成像方法。虽然主要兴趣的传统主题与核有关 医学技术，例如正电子发射断层扫描 (PET) 和单光子发射 计算机断层扫描（SPECT），最近发展的成像技术也将获得越来越多的空间 X 射线、CT、光学、MR 等模式，特别强调它们的多模式组合 核医学成像。最近，人们对使用深度学习也产生了更多的兴趣 和人工智能来增强现场医学成像。此次会议提供了一个完善的论坛 学术界、工业界、政府以及研究人员之间的科学交流和对话 公众教育，特别是年轻一代。这体现在大 一系列教育进修课程和短期课程。该计划的主要目标之一 会议是对年轻研究人员的教育，因此 NIH R13 提案寻求 10,000 美元 为未来三年每年提供 20 名实习生补助金，每人 500 美元，以部分支付费用 MIC 会议注册费、住宿费和/或研究生短期课程费以及 美国机构的博士后研究员。 我们预计该资助计划的主要影响将是提高学生的出勤率 和博士后参加 2020 年会议，特别是那些通常代表性不足的人，以及支持 他们对教育活动的参与。重要的是让年轻一代，特别是女性， 少数族裔和残疾人进入医学成像领域，他们可以成为该领域的主要力量 未来几年的演员。他们将参加世界各地许多人的全体会议和口头报告 核医学成像仪器、图像处理和定量分析领域的领导者 字段。此外，他们将获得通过简短的直接个人互动的独特机会 课程和专门的海报展示。反过来，他们的工作将暴露给其他参与者 进行批判性评价、建设性建议和传播。此外，这些实习生中的许多人 很可能会继续在这一领域发展，从而促进具有高度社会相关性的技术进步 越来越多地用于疾病的临床管理和治疗干预。