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.

双模式CT/X射线发光CT用于体内癌症成像抽象的组合的X射线CT和分子成像系统，称为“ CT/X射线发光CT（XLCT）”，是建议的。该系统使用X射线作为单个来源来图像解剖学和分子特征 X射线可激活分子问题的发光信号的简单检测。在这种技术中，空间信息是通过使用空间选择性X射线模式激发样品而获得的空间信息探测器围绕样品测量发光照片扩散。不管在哪里检测到照片，众所周知，它们是在编码X射线梁的路径上创建的。这基本原理构成了一个新的范式，用于成像深度发光的问题，很少组织自动荧光的背景。 XLCT的另一个重要优点是X射线兴奋是由于极高的量子产率（2-4个数量级高），通过数量级扩增超过100％的辐射材料。为各种生物医学应用建立XLCT 有时，对于临床应用，我们组建了一个由领导的多学科团队具有CT成像，分子成像，生物化学，医学物理学，计算方面的专业知识的研究人员科学和医学，并建立了统一这些共同利益和专业知识的研究主题调查人员。如果成功，混合CT/XLCT将克服CT和光学的许多局限性成像方法，使我们能够在解剖学CT图像上下文中可视化生物过程空前的灵敏度，特异性和空间分辨率。新颖的双重模态成像策略将因此，显着推进了癌症成像领域，并为生物学提供了有价值的成像工具和临床研究。