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Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging

用于体内癌症成像的双模态 X 射线发光 CT

基本信息

批准号：
10360435
负责人：
Lei Xing
金额：
$ 56.91万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-12-01 至 2023-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10360435
关键词：
Algorithms Anatomy Animals Biochemistry Biodistribution Biological Biological Markers Biological Process Biomedical Research Characteristics Clinical Research Code Collimator Computational Science Detection Development Diffuse Drug Kinetics Epidermal Growth Factor Receptor Evaluation Fluorescence Foundations Future Geometry Goals Human Hybrids Image Imaging Device Imaging Techniques Imaging technology In Vitro Information Systems Knowledge Light Magnetic Resonance Imaging Measurement Measures Mechanics Medical Medicine Methods Modality Modification Molecular Molecular Probes Morphologic artifacts Mus Optics Pattern Performance Photons Physics Radio Research Research Personnel Resolution Roentgen Rays Sampling Sensitivity and Specificity Series Signal Transduction Source Surface System Systems Development Systems Integration Techniques Testing TimeLine Tissues X-Ray Computed Tomography anatomic imaging animal imaging base biomedical imaging cancer imaging clinical application cost data acquisition design detector experimental study human imaging image reconstruction imaging modality imaging study imaging system in vivo innovation instrumentation interest luminescence malignant breast neoplasm molecular imaging multidisciplinary multiplexed imaging nanoparticle nanophosphor novel optical imaging prototype quantitative imaging quantum reconstruction screening simulation tomography tool transmission process

项目摘要

Dual Modality CT/X-ray Luminescence CT for in vivo Cancer Imaging ABSTRACT A combined X-ray CT and molecular imaging system, referred to as “CT/X-ray luminescence CT (XLCT)”, is proposed. The system uses X-ray as a single source to image anatomy and molecular features from simultaneous detection of luminescence signals of X-ray activatable molecular probes. In this technique, the spatial information is obtained by exciting the sample using spatially selective X-ray patterns while optical detectors placed around the sample measure luminescence photons diffusing out. Regardless of where these photons are detected, it is known that they are created somewhere on the path of the coded X-ray beams. This fundamental principle constitutes a new paradigm for imaging deep-seated light-emitting probes, with little background from tissue auto-fluorescence. Another significant advantage of XLCT is that X-ray excitation is amplified by orders of magnitude because of the extremely high quantum yield (2-4 orders of magnitude greater than 100%) of the radioluminescent materials. Toward establishing XLCT for various biomedical applications and eventually for clinical applications, we have assembled a multidisciplinary team consisting of leading investigators with expertise in CT imaging, molecular imaging, biochemistry, medical physics, computational science, and medicine, and established research themes that unify the common interests and expertise of these investigators. If successful, the hybrid CT/XLCT will overcome many of the limitations of CT and optical imaging methods and enable us to visualize biological processes in the anatomical CT image context with unprecedented sensitivity, specificity and spatial resolution. The novel dual modality imaging strategy will therefore significantly advance the field of cancer imaging and provide a valuable imaging tool for biological and clinical studies.

双模CT/X射线发光CT在活体肿瘤成像中的应用摘要一种X射线CT和分子成像相结合的系统，称为CT/X射线发光CT(XLCT)，是建议。该系统使用X射线作为单一来源来成像来自 X射线可激活分子探针发光信号的同时检测。在这种技术中，空间信息是通过在光学的同时使用空间选择性的X射线图案来激励样品来获得的放置在样品周围的探测器测量扩散出来的发光光子。不管这些东西在哪里当探测到光子时，我们知道它们是在编码的X射线束路径上的某个地方产生的。这基本原理构成了对深层发光探测器成像的新范例，几乎没有背景来自组织的自体荧光。XLCT的另一个显著优势是X射线激发由于极高的量子产额(大2-4个数量级)而放大了数量级超过100%)的放射性发光材料。为各种生物医学应用建立XLCT 最终，在临床应用方面，我们组建了一个多学科团队，由领先的具有CT成像、分子成像、生物化学、医学物理、计算等专业知识的研究人员科学和医学，并建立了研究主题，统一了这些人的共同兴趣和专业知识调查人员。如果成功，混合CT/XLCT将克服CT和光学的许多限制成像方法，并使我们能够在解剖CT图像上下文中可视化生物过程前所未有的灵敏度、特异度和空间分辨率。新的双模式成像策略将因此大大推进了肿瘤成像领域，为生物医学提供了一种有价值的成像工具和临床研究。