Next generation deep tissue quantitative optical imaging

下一代深层组织定量光学成像

基本信息

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
项目类别：
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

项目摘要

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

项目概要近20年的临床研究表明，基于频率的近红外光学成像域漫射光谱 (FD-DOS) 可以成为研究、诊断和分析的强大工具。人类疾病的个性化治疗。当用于神经成像（即功能性近红外光谱、fNIRS），与标准连续波相比，FD-DOS 可以提供更大的成像深度 (CW) fNIRS 从而到达更深的皮质层并提供与浅层的更好区分。在乳腺癌，FD-DOS 可有效预测个体对新辅助化疗和类似化疗的反应在重症监护、运动生理学、乳腺癌领域收集了支持 FD-DOS 的有力证据诊断等应用。尽管有这些令人信服的临床数据，FD-DOS 尚未转化为适用于任何适应症的标准临床用途。原因有两个。首先，漫射光学成像方法，作为整体而言，仍然存在空间分辨率和信噪比较低的问题。此外，临床应用可以从 FD-DOS 提供的先进定量和更高灵敏度中受益，但不愿意采用该方法因为缺乏高密度、高分辨率成像的可扩展性并且过于复杂，缓慢且难以使用。该项目将通过创建基于反射的 FD-DOS 来消除这些障碍用于定量深部组织光谱和断层扫描的成像平台，具有前所未有的可扩展性，精度和速度，可显着提高精度和空间分辨率。这将是通过大规模可扩展的多频 FD 硬件和软件的开发和评估来实现以超高空间密度高精度对组织进行采样。目前的方法还不够，因为数据采集太慢，所需的硬件（例如光学设备/光纤和电子设备）太大并且重，标准数据处理和 3D 重建算法无法合理处理这些大数据数据集。该项目介绍了多波长光源和灵敏探测器、多波长光源和多波长光源的创新。频率 FD 调制和解调、高空间密度组织采样方法、FD 相控阵组织的结构化询问和 2D/3D 图像重建。性能将得到改善通过乳腺成像和定量 fNIRS 的人体验证研究得到证实。结果也将显着提高可穿戴传感能力并改善其他光学模式的量化，例如如光声成像。没有其他医学成像技术可以提供定量、深层组织和实时测量内源性和外源性分子以及组织散射参数紧凑、可扩展的平台。总之，这些进步将迎来下一代定量组织光谱学可改善诊断和个性化护理，特别是在神经病学、乳腺病学领域肿瘤学和个人健康。 1