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

TRD 4项目摘要 我们的先进成像创新和研究中心（CAI 2 R）的广泛使命是 合作的翻译研究团队一起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。与其他三个技术 我们中心的研发（TR&D）项目专注于生成丰富的定量数据 然而，一个关键问题仍然存在：这些数据流在组织功能水平上真正意味着什么？ 解决这个问题需要从宏观（毫米）尺度的空间尺度上桥接， 将体素成像到细胞的介观（微米）尺寸，许多疾病过程起源于此。 绘制细胞水平生物物理参数的能力将为临床和生物医学领域开辟新的生产途径。 应用和基础研究。在TR&D项目4中，我们将组织微结构映射整合到 全面的图像采集，在细胞水平上实现对组织变化的特异性， 了解生理学和病理学，用于最早的疾病检测，用于监测疾病进展， 以及用于治疗功效的量化。该项目的总体目标是将MRI从一种 成像设备到用于测量微结构组织的准确和精密的科学仪器 参数我们的具体目标是：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）开发和验证微结构的生物物理模型 脑、肌肉和癌症组织的显微结构图，其可用于将图像数据转换为显微结构图， 患有神经系统、肌肉骨骼或肿瘤疾病的患者;以及3）将这些建模和 将方法映射到临床实践中。

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.