TR&D 3: Enriching the Data Stream: MR and PET in Concert

TR

• 批准号: 10246949
• 负责人: Hersh Chandarana
• 金额: $ 20.97万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10246949
• 关键词: Abdomen; Address; Algorithms; Apoptosis; Area; Artificial Intelligence; Astrocytes; Axon; Biological; Brain; Clinical; Computer software; Cyclotrons; DNA Repair; Data; Development; Diagnosis; Diagnostic Sensitivity; Disease; Doctor of Philosophy; Engineering; Evaluation; Funding; Future; Geometry; Goals; Human; Image; Imaging technology; Immune response; Inflammation; Joint repair; Joints; Kinetics; Machine Learning; Magnetic Resonance Imaging; Malignant Neoplasms; Measurement; Methodology; Methods; Microglia; Mission; Modality; Modernization; Molecular Target; Monitor; Motion; Myelin; New York; Outcome; Positron-Emission Tomography; Process; Production; Protocols documentation; RF coil; Radiochemistry; Research; Research Personnel; Resolution; Sensory; Site; Specialist; Stream; Structure; System; Techniques; Technology; Time; Tissues; Tracer; Translational Research; Validation; Vendor; Work; base; bioimaging; biophysical model; clinical practice; data acquisition; data streams; image reconstruction; imaging modality; improved; industry partner; innovation; kinetic model; machine learning algorithm; machine learning method; metropolitan; mitochondrial dysfunction; multidisciplinary; multisensory; neuroinflammation; next generation; processing speed; reconstruction; sensor; sensor technology; synergism; technology research and development; theranostics; tool

TRD3 Project Summary The broad mission of our Center for Advanced Imaging Innovation and Research (CAI2R) is to bring together collaborative translational research teams for the development of high-impact biomedical imaging technologies, with the ultimate goal of changing day-to-day clinical practice. Technology Research and Development (TR&D) Project 3 aims to exploit unique synergies between Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), in order to improve and inform imaging-based evaluations of tissue structure and function in disease. Using modern methods of machine learning and other enabling hardware and software, we will combine these two complementary imaging modalities much as distinct sensory modalities are combined into a multifaceted multisensory stream. Concrete outcomes of our work will include 1) new techniques and technologies for motion correction in MR and PET; 2) new algorithms for the extraction of complementary information from MR and PET acquisitions; 3) new tracers that are tailored for combined MR-PET scanning rather than merely being addressed at traditional molecular targets; and 4) new means of elucidating the intrinsic structure and function of tissue.

TRD 3项目摘要 我们的先进成像创新与研究中心（CAI 2 R）的广泛使命是 联合协作转化研究团队开发高影响力的生物医学成像 技术，最终目标是改变日常临床实践。技术研究和 开发（TR&D）项目3旨在利用磁共振成像（MRI） 和正电子发射断层扫描（PET），以改善和告知基于成像的组织评估 疾病的结构和功能。使用现代机器学习方法和其他支持硬件 和软件，我们将联合收割机结合这两个互补的成像方式， 形式被组合成多方面的多感觉流。我们工作的具体成果将包括 1)用于MR和PET中运动校正的新技术和工艺; 2）用于提取的新算法 来自MR和PET采集的互补信息; 3）针对组合的定制的新示踪剂 MR-PET扫描，而不仅仅是在传统的分子靶点;以及4）新的手段， 阐明组织的内在结构和功能。