Computational Optical Tomography for Anti-stroke Therapy (R21/R33)

用于抗中风治疗的计算光学断层扫描 (R21/R33)

• 批准号: 7861439
• 负责人: HANLI LIU
• 金额: $ 48.94万
• 依托单位: UNIVERSITY OF TEXAS ARLINGTON
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-01 至 2012-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7861439
• 关键词: 17p; Algorithms; Animal Model; Animals; Brain; Brain Ischemia; Cerebral Ischemia; Code; Data; Development; Diagnostic; Environment; Estradiol; Functional disorder; Grant; Image; Imaging Device; Internet; Ischemic Stroke; Laboratories; Lead; Measurement; Middle Cerebral Artery Occlusion; Modeling; Neurosciences; Nimodipine; Optical Tomography; Outcome; Pharmaceutical Preparations; Pharmacologic Substance; Phase; Rattus; Reading; Research; Stroke; Time; Transient Cerebral Ischemia; Vasospasm; base; charge coupled device camera; cost; drug development; hemodynamics; imaging modality; light scattering; neuroprotection; novel; prognostic; prototype; stroke therapy; user-friendly

DESCRIPTION (provided by applicant): Recent development in diffuse optical tomography (DOT) and CCD technology may allow us to achieve high-quality, good-resolution, optical tomographic images, for which advanced 3-dimensional (3D) imaging reconstruction algorithms are inevitably needed. The objective of this proposal is to develop a fast globally convergent reconstruction (GCR) algorithm for 3D tomographic imaging of vascular oxygenation obtained by combining DOT, CGD measurements, and the near infrared spectroscopy (NIRS). With such a superior reconstruction algorithm, which has a capability to handle large data sets and proven mathematically to be of convergence at any complex background, we will be able to accomplish 3D, non-invasive optical imaging as a dynamic monitoring means to investigate microcirculatory dysfunction during ischemic stroke using animal models. The specific aims in the R21 phase are (1) to design and implement a CCD-camera-based, NIRS imaging system suitable for dynamic imaging of cerebral concentrations of oxygenated hemoglobin (HbO) and total hemoglobin (HbT), and (2) to develop and to validate the fast GCR algorithm for 3D tomographic reconstruction of vascular contents and oxygenation based on the CCD/NIR measurements. After success of the initial R21 development, the PI and her collaborators will apply the developed GCR algorithm to the investigation of microcirculatory dysfunction during ischemic stroke using animal models. The specific aims in the R33 phase are: (1) using the developed GCR algorithm with the CCD/NIR measurements to obtain 3D tomographic images of cerebral concentrations of oxygenated hemoglobin, total hemoglobin, and light scattering parameters from the rats in vivo during and after ischemic stroke, (2) to characterize the cerebral-ischemia- induced microvasculature dysfunction identified by the 3D NIR imaging, (3) to determine the effect of a anti- stroke drug on microvasculature dysfunction in the cerebral ischemia model, and (4) to implement an integrated, user-friendly platform/environment for users in academic and medical communities for sharing both (a) our developed 3D GCR algorithm for NIR tomographic imaging and (b) our data-intensive, CCD camera based, NIR spectroscopic readings. The proposed technique and development can be readily applicable to other types of neurological deceases and therapeutic monitoring after its validation. Furthermore, this functional imaging technique will enhance our understanding on dynamics, mechanism, and heterogeneity of ischemic stroke.

描述（由申请人提供）：漫射光学断层扫描（DOT）和CCD技术的最新发展可能使我们能够获得高质量、高分辨率的光学断层图像，为此先进的3维（3D）成像重建算法是不可避免的需要。该提案的目标是开发一种快速全局收敛重建 (GCR) 算法，用于通过结合 DOT、CGD 测量和近红外光谱 (NIRS) 获得的血管氧合 3D 断层扫描成像。凭借这种卓越的重建算法，能够处理大数据集，并在数学上证明在任何复杂背景下都具有收敛性，我们将能够实现 3D、非侵入性光学成像，作为研究微循环功能障碍的动态监测手段在缺血性中风期间使用动物模型。 R21 阶段的具体目标是 (1) 设计和实现基于 CCD 摄像头的 NIRS 成像系统，适用于脑部含氧血红蛋白 (HbO) 和总血红蛋白 (HbT) 浓度的动态成像，以及 (2)开发并验证基于 CCD/NIR 测量的血管内容物和氧合 3D 断层扫描重建的快速 GCR 算法。在最初的 R21 开发成功后，PI 和她的合作者将应用开发的 GCR 算法，使用动物模型研究缺血性中风期间的微循环功能障碍。 R33阶段的具体目标是：（1）使用开发的GCR算法和CCD/NIR测量来获得大鼠体内氧合血红蛋白、总血红蛋白浓度和光散射参数的3D断层扫描图像。缺血性中风，(2) 表征通过 3D NIR 成像识别的脑缺血引起的微血管功能障碍，(3) 确定抗中风药物对脑缺血模型中的微血管功能障碍，以及（4）为学术界和医学界的用户实现一个集成的、用户友好的平台/环境，以共享（a）我们开发的用于近红外断层扫描成像的 3D GCR 算法和（b）我们的数据密集型、基于 CCD 相机的近红外光谱读数。所提出的技术和开发经过验证后可以很容易地应用于其他类型的神经系统疾病和治疗监测。此外，这种功能成像技术将增强我们对缺血性中风的动力学、机制和异质性的理解。