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

基本信息

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
项目类别：
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

项目摘要

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.

TRD3 项目概要我们先进成像创新与研究中心 (CAI2R) 的广泛使命是合作转化研究团队共同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。技术研究与开发 (TR&D) 项目 3 旨在利用磁共振成像 (MRI) 之间的独特协同作用和正电子发射断层扫描 (PET)，以改进基于成像的组织评估并为其提供信息疾病中的结构和功能。使用现代机器学习方法和其他支持硬件和软件，我们将结合这两种互补的成像方式，就像不同的感官一样模态被组合成多方面的多感官流。我们工作的具体成果将包括 1）MR和PET运动矫正新技术和新工艺； 2）新的提取算法来自 MR 和 PET 采集的补充信息； 3）专为组合定制的新示踪剂 MR-PET 扫描而不仅仅是针对传统的分子目标； 4）新手段阐明组织的内在结构和功能。