Center for Advanced Imaging Innovation and Research (CAI2R)

整体项目总结 先进成像创新与研究中心(CAI2R)追求的使命是让人们 共同创造新的观察方式。我们中心的工作一直专注于创建新的范式 用于生物医学图像的获取、重建和解释，并实现新的 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，而CAI2R一直处于这种变化的前沿。执行以下任务 曾经是精心设计的成像硬件的唯一领域，现在开始实现 在软件方面，越来越多的信息来自各种廉价的辅助传感器阵列。曾经追查过的信息 通过费力地获取仔细分离的图像数据集，现在正在从新的 集成的、大量量化的数据流。为了与这些主题保持一致，我们的中心将组织起来 围绕以下四个未来的技术研究和开发(TR&D)项目： 1.重新设想扫描的未来：智能图像采集、重建和分析。 2.打开未来扫描仪的枷锁：灵活、自我校正、多传感器的机器。 3.丰富数据流：MRI和PET协同工作。 4.揭示微结构：用于发现和临床护理的生物物理建模和验证。 在每个项目中，我们的目标都是将医学成像技术推向新的水平，无论是在硬件还是在 在软件方面。在开发快速、连续的成像数据流方面取得了长足的进步之后，我们将下一个目标 为了向这些数据流添加关键的新信息，既来自物理驱动的微结构建模，也来自数据- 驱动型机器学习。专注于开发强大的图像采集工具和 重建，我们将把管道延伸到图像解释，使用人类或机器的结果- 对图像内容的派生评估，作为进一步改进获取策略和 传感器设计。我们还将致力于结束诊断感知和治疗干预之间的循环， 探索用不断获得的有关组织生物效应的信息指导治疗的新方法。 我们的中心有明确的翻译重点，这反映在研发项目的日常运营中 以及协作项目(CP)和服务项目(SP)的主题，这两个主题侧重于三个 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疾病。 为了与这一翻译重点保持一致，CAI2R还由中的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进行 互动技术开发和评估。通过临床利益相关者的早期参与和 行业合作伙伴，我们的目标是让CAI2R技术广泛应用，促进生物医学的发展 知识，为了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.