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

项目总结