Center for Advanced Imaging Innovation and Research (CAI2R)

总体项目摘要 先进成像创新与研究中心（CAI2R）的使命是让人们 一起创造新的观看方式。我们中心的工作重点是创造新的范例， 用于生物医学图像的采集、重建和解释，以及实施新的 合作模式，以便将这些发展迅速转化为临床实践。 生物医学成像的世界正在发生变化，CAI2R一直处于这一变化的最前沿。的任务 曾经是唯一的领域，精心设计的成像硬件，现在开始完成 在软件中，越来越多的廉价辅助传感器阵列提供信息。信息一旦被追踪 通过费力地获取仔细分离的图像数据集， 集成的、丰富的定量数据流。为了与这些主题保持一致，我们的中心将 围绕以下四个技术研究和开发（TR&D）项目进行： 1.重新构想扫描的未来：智能图像采集、重建和分析。 2.解开未来扫描仪的枷锁：灵活、自校正、多传感器机器。 3.丰富数据流：MRI和PET的协同作用。 4.揭示微观结构：用于发现和临床护理的生物物理建模和验证。 在这些项目中，我们的目标是将医学成像技术推向一个新的水平，无论是在硬件方面， in software软件.在开发快速、连续的成像数据流方面取得了长足进步，我们的下一个目标是： 从物理驱动的微观结构建模和数据中为这些流添加关键的新信息， 驱动的机器学习专注于开发强大的图像采集工具， 重建，我们将延长管道图像解释，使用人类或机器的结果， 对图像内容的衍生评价，作为进一步改进采集策略的反馈， 传感器设计我们还将致力于闭合诊断传感和治疗干预之间的循环， 探索新的方法来指导治疗与组织生物效应的连续获取的信息。 我们的中心有一个明确的翻译重点，这反映在TR&D项目的日常运作中 以及合作项目（CP）和服务项目（SP）的主题，重点是三个 对公共卫生影响较大的一般领域：癌症、肌肉骨骼疾病和神经系统疾病。 为了与这种翻译重点保持一致，CAI2R也由嵌入式协作模型驱动， 基础科学家、临床医生和行业开发人员定期坐在扫描仪前， 互动技术开发和评估。临床利益相关者的早期参与， 作为行业合作伙伴，我们的目标是使CAI2R技术广泛应用，以促进生物医学的发展。 知识，并为病人和照顾他们的医生的利益。

Overall Project Summary The Center for Advanced Imaging Innovation and Research (CAI2R) pursues a mission of bringing people together to create new ways of seeing. The work of our Center has been focused on creating new paradigms for the acquisition, reconstruction, and interpretation of biomedical images, and on implementing new collaboration models in order to translate these developments rapidly into clinical practice. The world of biomedical imaging is changing, and CAI2R has been at the forefront of that change. Tasks that were once the sole domain of meticulously-engineered imaging hardware are now beginning to be accomplished in software, increasingly informed by diverse arrays of inexpensive auxiliary sensors. Information once pursued through the laborious acquisition of carefully separated image datasets is now being derived from newly integrated, and richly quantitative, data streams. In keeping with these themes, our Center will be organized around the following four Technology Research and Development (TR&D) projects going forward: 1. Reimagining the Future of Scanning: Intelligent image acquisition, reconstruction, and analysis. 2. Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines. 3. Enriching the Data Stream: MRI and PET in concert. 4. Revealing Microstructure: Biophysical modeling and validation for discovery and clinical care. In each of these projects, we aim to push medical imaging technology to the next level, both in hardware and in software. Having made great strides in developing rapid, continuous imaging data streams, we will next aim to add key new information to those streams, both from physics-driven microstructural modeling and from data- driven machine learning. Having focused on the development of robust tools for image acquisition and reconstruction, we will extend the pipeline to image interpretation, using the results of human- or machine- derived evaluations of image content as feedback for the further improvement of acquisition strategies and sensor designs. We will also aim to close the loop between diagnostic sensing and therapeutic intervention, exploring new ways to guide therapy with continuously-acquired information about tissue bioeffects. Our Center has an explicit translational focus, which is reflected in the day-to-day operation of TR&D projects as well as in the topics of Collaborative Projects (CPs) and Service Projects (SPs), which are focused on three general areas of high public health impact: cancer, musculoskeletal disease, and neurologic disease. In keeping with this translational emphasis, CAI2R is also be driven by an embedded collaboration model in which basic scientists, clinicians, and industry developers sit down together regularly at the scanners for interactive technology development and assessment. With early involvement of clinical stakeholders and industry partners, we aim to make CAI2R technologies widely available, for the advancement of biomedical knowledge and for the benefit of patients and the physicians who care for them.