Next generation deep tissue quantitative optical imaging

下一代深层组织定量光学成像

• 批准号: 10320455
• 负责人: Thomas D OSullivan
• 金额: $ 48.22万
• 依托单位: UNIVERSITY OF NOTRE DAME
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10320455
• 关键词: 3-Dimensional; Adopted; Algorithms; Area; Brain imaging; Breast Oncology; Clinical; Clinical Data; Clinical Research; Complex; Computer software; Critical Care; Data; Development; Devices; Diagnosis; Diagnostic; Diffuse; Electronics; Evaluation; Exercise Physiology; Fiber; Frequencies; Functional Imaging; Goals; Health; Human; Image; Imaging technology; Lasers; Lead; Location; Magnetic Resonance Imaging; Medical Imaging; Methods; Modality; Multi-site clinical study; Near-infrared optical imaging; Neoadjuvant Therapy; Neurology; Noise; Optics; Performance; Phase; Physiology; Process; Property; Resolution; Sampling; Scalp structure; Signal Transduction; Silicon; Source; Spectrum Analysis; Speed; Structure; System; Techniques; Technology; Three-Dimensional Image; Time; Tissue Sample; Tissues; Translating; Translations; Work; base; breast cancer diagnosis; breast imaging; chemotherapy; clinical application; computerized data processing; data acquisition; data standards; density; design; detector; diffuse optical spectroscopy and imaging; flexibility; functional near infrared spectroscopy; high resolution imaging; human disease; image reconstruction; imager; imaging modality; imaging platform; improved; individual response; innovation; integrated circuit; large datasets; malignant breast neoplasm; neuroimaging; next generation; novel; optical imager; optical imaging; personalized care; personalized medicine; photoacoustic imaging; photomultiplier; prevent; reconstruction; secondary analysis; technology validation; temporal measurement; tissue reconstruction; tomography; tool; treatment response; tumor; validation studies

PROJECT SUMMARY Nearly 20 years of clinical research has shown that near-infrared optical imaging based upon frequency domain diffuse optical spectroscopy (FD-DOS) can be a powerful tool for the study, diagnosis, and personalized treatment of human disease. When used for neuroimaging (i.e. functional near-infrared spectroscopy, fNIRS), FD-DOS can provide a greater imaging depth compared to standard continuous-wave (CW) fNIRS thus reaching deeper cortical layers and providing better distinction from superficial layers. In breast cancer, FD-DOS is effective for predicting individual response to neoadjuvant chemotherapy and similar strong evidence supporting FD-DOS has been collected in critical care, exercise physiology, breast cancer diagnosis, and other applications. Despite this convincing clinical data, FD-DOS has not yet been translated to standard clinical use for any indication. The reasons are two-fold. First, diffuse optical imaging methods, as a whole, still suffer from low spatial resolution and signal-to-noise ratio. Furthermore, clinical applications that can benefit from the advanced quantitation and deeper sensitivity afforded by FD-DOS are reluctant to adopt the method because it lacks scalability for high density, high resolution imaging and is prohibitively complex, slow, and difficult to use. This project will remove these barriers by creating a reflectance-based FD-DOS imaging platform for quantitative deep tissue spectroscopy and tomography with unprecedented scalability, precision, and speed that enables dramatic improvements in accuracy and spatial resolution. This will be enabled by the development and evaluation of massively-scalable multi-frequency FD hardware and software that samples tissue at ultrahigh spatial densities with high precision. Current methods are insufficient because data acquisition is too slow, the hardware needed (e.g. optical devices/fibers and electronics) is too bulky and heavy, and standard data processing and 3D reconstruction algorithms cannot reasonably handle these large datasets. This project introduces innovations in multi-wavelength optical sources and sensitive detectors, multi- frequency FD modulation and demodulation, high spatial density tissue sampling methods, FD phased-array structured interrogation of tissue, and 2D/3D image reconstruction. Improved performance will be demonstrated through human validation studies of breast imaging and quantitative fNIRS. The results will also significantly advance wearable sensing capabilities and improve quantification in other optical modalities such as photoacoustic imaging. No other medical imaging technology can provide quantitative, deep tissue, and real-time measurements of both endogenous and exogenous molecules and tissue scattering parameters in a compact, scalable platform. Together, these advances will usher in a next generation of quantitative tissue optical spectroscopy that lead to improved diagnostics and individualized care, especially in neurology, breast oncology, and personal health. 1

项目摘要 将近20年的临床研究表明，基于频率的近红外光学成像 域分散光谱（FD-DOS）可以成为研究，诊断和 个性化治疗人类疾病。当用于神经成像时（即功能性近红外 与标准连续波相比 （CW）FNIRS因此达到了更深的皮质层，并提供了更好地与表层层的区别。在 乳腺癌，FD-DOS可有效预测个人对新辅助化疗的反应和类似的反应 在重症监护，运动生理，乳腺癌中收集了支持FD-DO的有力证据 诊断和其他应用。尽管有令人信服的临床数据，但FD-DOS尚未转换为 标准临床用途。原因是两个方面。首先，弥散光学成像方法，作为一个 整体，仍然患有低空间分辨率和信噪比。此外，临床应用 可以从FD-DOS提供的高级定量和更深入的敏感性中受益不愿采用 该方法是因为它缺乏高密度，高分辨率成像的可伸缩性，并且非常复杂， 缓慢，难以使用。该项目将通过创建基于反射率的FD-DOS来消除这些障碍 具有前所未有的可伸缩性的定量深组织光谱和断层扫描的成像平台， 精度和速度，可以在精度和空间分辨率方面进行巨大改进。这将是 通过开发和评估大规模的多频FD硬件和软件的开发和评估 这以高精度在超高空间密度下采样。当前的方法不足，因为 数据采集​​太慢，需要的硬件（例如，光学设备/光纤和电子设备）太大了，并且 重型和标准数据处理以及3D重建算法无法合理处理这些大型 数据集。该项目介绍了多波长光源和敏感探测器的创新 频率FD调制和解调，高空间密度组织采样方法，FD分阶段阵列 组织的结构化询问和2D/3D图像重建。性能的提高将是 通过人类对乳房成像和定量FNIRS的验证研究证明。结果也将 显着提高可穿戴感应功能并改善其他光学方式的定量 作为光声成像。没有其他医学成像技术可以提供定量，深层组织和 内源性和外源分子和组织散射参数的实时测量 紧凑，可扩展的平台。这些进步将加入下一代定量组织 光谱法可以改善诊断和个性化护理，尤其是在神经学，乳房方面 肿瘤学和个人健康。 1