项目名称: 结合医学影像先验信息的近红外漫射光血流血氧测量技术研究
项目编号: No.61771433
项目类型: 面上项目
立项/批准年度: 2018
项目学科: 无线电电子学、电信技术
项目作者: 尚禹
作者单位: 中北大学
项目金额: 16万元
中文摘要: 人脑部血流和血氧的测量对于多种疾病的诊断和治疗非常重要。目前的近红外漫射光谱及相关光谱(DOS及DCS)测量血氧和血流的技术无法利用被测组织形态和内部成分信息。本项目拟利用医学影像的先验信息和DCS/DOS技术来精确和稳定地测量脑部组织的血流和血氧。为了减少表层组织(头皮和颅骨)的信号对脑皮层血流/血氧测量的影响,本项目拟结合头部的磁共振影像、图像三维重建技术与光子蒙特卡罗仿真技术,从而获得头部组织的空间特征;并利用此信息,使用最新创建的N阶线性算法(NL算法)来求解血流/血氧的信息。为了增加测量的精确性和稳定性,我们将用计算机仿真和仿体实验的方法来定量评测和优化NL算法,从而实现在数据噪声的影响下准确地提取血流和血氧信息。此项目的创新成果将推动DCS/DOS技术在脑科学研究和临床诊断的应用。
中文关键词: 近红外光谱检测;无创测量;血流;血氧;正则化方法
英文摘要: Measurements of cerebral blood flow and oxygenation are of importance for diagnosis and treatment of various brain diseases. The current methods of near-infrared diffuse optical spectroscopy (DOS) and diffuse correlation spectroscopy (DCS) for blood oxygenation and blood flow measurement are unable to utilize the geometrical and internal component information of tissue. This project will utilize the prior information from medical images as well as DCS/DOS technology to obtain accurate and robust measurements of cerebral blood flow and oxygenation. With aim to reduce the influence of signals from superficial tissues (e.g., scalp and skull) on those from deep tissue (e.g., brain), we plan to integrate the MRI images, as well as the technologies of image reconstruction and photon Monte Carlo simulation, to obtain the head volume characteristics. Furthermore, an Nth-order linear algorithm (NL) recently created by us, will be utilized to accurately extract the blood flow/oxygenation information through combination with head volume characteristics. Additionally, we plan to improve the NL algorithm via computer simulation and phantom experiments, so as to maintain the stability and accuracy of blood flow/oxygenation values under the influence of experimental noise. The outcomes derived from this study will assist in applications of DCS/DOS technologies in brain studies and clinical diagnosis.
英文关键词: near-infrared spectroscopy detection;non-invasive measurement;blood flow ;blood oxygenation;regularization method