TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical care

基本信息

批准号：
10701723
负责人：
Dmitry S Novikov
金额：
$ 21.41万
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/10701723
关键词：
3-Dimensional Address Algorithms Animal Model Animals Axon Basic Science Biological Markers Biophysics Brain Cell Membrane Permeability Cell Size Clinic Clinical Clinical Research Complement Data Dendrites Detection Development Diameter Diffusion Diffusion Magnetic Resonance Imaging Dimensions Disease Disease Progression Doctor of Philosophy Electron Microscopy Fiber Freedom Goals Head and Neck Neoplasms Histology Image Imaging Device Imaging technology Leadership Length Machine Learning Magnetic Resonance Imaging Malignant Neoplasms Maps Measurement Measures Methodology Methods Mission Modality Modeling Monitor Monte Carlo Method Morphologic artifacts Motion Muscle Musculoskeletal Nerve Degeneration Neurologic Noise Parameter Estimation Pathology Patients Physics Physiological Physiology Positron-Emission Tomography Process Productivity Prostate Protocols documentation Protons Relaxation Research Research Personnel Resolution Roentgen Rays Scanning Signal Transduction Specificity Structure Time Tissues Translating Translational Research Treatment Efficacy Validation Water anatomic imaging biomedical imaging biophysical model biophysical properties cancer imaging cell dimension cell stroma cell type clinical application clinical care clinical practice clinical translation data acquisition data space data streams design improved innovation instrument meter millimeter musculoskeletal imaging neuroimaging novel reconstruction technology research and development theories time use tool tumor

项目摘要

TRD4 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. With the other three Technology Research and development (TR&D) Projects in our Center focused on generating rich, quantitative data streams, a key question remains: What do these data streams really mean at the level of tissue function? Answering such a question requires bridging spatial scales from the macroscopic (millimeter) dimensions of image voxels to the mesoscopic (micrometer) dimensions of cells, where many disease processes originate. An ability to map cellular-level biophysical parameters would open new productive avenues for both clinical applications and basic research. In TR&D Project 4, we will integrate tissue microstructure mapping into comprehensive image acquisitions, to achieve specificity to tissue changes at the cellular level, for understanding physiology and pathology, for earliest disease detection, for monitoring of disease progression, and for quantification of treatment efficacy. The overarching goal of this project is to transform MRI from an imaging device to an accurate and precise scientific instrument for measuring microstructural tissue parameters. Our Specific Aims are 1) To establish the underlying biophysical information content of MRI data, using methods from mesoscopic physics; 2) To develop and validate biophysical models for the microstructure of brain, muscle, and cancer tissues, which may be used to convert image data to microstructural maps in patients with neurological, musculoskeletal, or oncologic disorders; and 3) To translate these modeling and mapping approaches into clinical practice.

TRD4项目摘要我们高级成像创新与研究中心（CAI2R）的广泛使命是共同开发高影响生物医学成像的合作转化研究团队技术，其最终目标是改变日常临床实践。与其他三个技术我们中心的研发（TR＆D）项目的重点是生成丰富的定量数据流，一个关键问题仍然是：这些数据流在组织功能水平上真正含义是什么？回答这样的问题需要从宏观（毫米）维度桥接空间尺度图像体素到细胞的介观（千分尺）尺寸，其中许多疾病过程起源。绘制细胞级生物物理参数的能力将为这两个临床开放新的生产途径应用和基础研究。在TR＆D项目4中，我们将将组织微结构映射到全面的图像采集，以达到细胞水平的组织变化的特异性，因为了解生理和病理学，以最早的疾病检测，以监测疾病进展，并用于量化治疗功效。该项目的总体目标是将MRI从一个成像装置，用于测量微观组织的精确而精确的科学仪器参数。我们的具体目的是1）建立MRI数据的基本生物物理信息内容，使用介观物理学的方法； 2）开发和验证微观结构的生物物理模型大脑，肌肉和癌症组织，可用于将图像数据转换为微观结构图神经，肌肉骨骼或肿瘤学疾病的患者； 3）翻译这些建模和映射方法进入临床实践。