Center for Advanced Imaging Innovation and Research (CAI2R)

先进成像创新与研究中心 (CAI2R)

• 批准号: 10246945
• 负责人: Daniel K Sodickson
• 金额: $ 117.49万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 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/10246945
• 关键词: Adopted; Area; Artificial Intelligence; Biology; Caring; Clinical; Collaborations; Color; Computer software; Country; Data; Data Set; Development; Diagnosis; Diagnostic; Disease; Doctor of Philosophy; Engineering; Feedback; Funding; Future; Goals; Health; Human; Image; Image Analysis; Imagination; Imaging Device; Imaging technology; Industrial Product; Industry; Institution; Intelligence; Knowledge; Legal patent; Machine Learning; Magnetic Resonance Imaging; Malignant Neoplasms; Medical Imaging; Methods; Mission; Modeling; Modernization; Musculoskeletal Diseases; Patient Care; Patients; Performance; Philosophy; Physicians; Physics; Positron-Emission Tomography; Process; Productivity; Public Health; Publishing; Research; Research Personnel; Scanning; Scientist; Services; Software Tools; Stream; Technology; Technology Assessment; Testing; Therapeutic Intervention; Time; Tissues; Training; Translating; Ursidae Family; Validation; Visit; Work; bioimaging; biophysical model; cancer imaging; clinical care; clinical practice; data acquisition; data streams; design; flexibility; image reconstruction; imaging approach; imaging modality; imaging scientist; improved; industry partner; innovation; interest; medical schools; multidisciplinary; musculoskeletal imaging; nervous system disorder; neuroimaging; novel imaging technique; open source tool; operation; radio frequency; reconstruction; sensor; technology development; technology research and development; tool; web site

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.

项目总体概要 先进成像创新与研究中心 (CAI2R) 的使命是让人们 共同创造新的观看方式。我们中心的工作重点是创造新范式 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。 生物医学成像世界正在发生变化，而 CAI2R 一直处于这一变化的最前沿。任务 曾经是精心设计的成像硬件的唯一领域现在已经开始实现 在软件方面，越来越多地通过各种廉价辅助传感器阵列获得信息。信息一旦被追求 通过费力地获取仔细分离的图像数据集，现在可以从新的 集成且丰富的定量数据流。为了与这些主题保持一致，我们的中心将组织 围绕以下四个技术研发（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. 释放未来扫描仪的束缚：灵活、自我校正、多传感器机器。 3. 丰富数据流：MRI 和 PET 的结合。 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。 在每个项目中，我们的目标是将医学成像技术推向新的水平，无论是在硬件还是 在软件中。在开发快速、连续的成像数据流方面取得了巨大进步后，我们的下一步目标是 将来自物理驱动的微观结构建模和数据的关键新信息添加到这些流中 驱动的机器学习。专注于开发强大的图像采集工具 重建，我们将使用人类或机器的结果将管道扩展到图像解释 对图像内容进行评估，作为进一步改进采集策略的反馈 传感器设计。我们还将致力于关闭诊断传感和治疗干预之间的循环， 探索通过不断获取的组织生物效应信息来指导治疗的新方法。 我们中心有明确的转化重点，这反映在 TR&D 项目的日常运作中 以及协作项目 (CP) 和服务项目 (SP) 的主题，重点关注三个 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。 为了与这种转化重点保持一致，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进行研究 交互式技术开发和评估。随着临床利益相关者的早期参与和 行业合作伙伴，我们的目标是使 CAI2R 技术得到广泛应用，以促进生物医学的进步 知识并为了患者和照顾他们的医生的利益。