Development of Methods and Software for Interior Tomography Applications

内部断层扫描应用方法和软件的开发

• 批准号: 7669831
• 负责人: Hengyong Yu
• 金额: $ 14万
• 依托单位: INTERIORSOFT, LLC
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7669831
• 关键词: Air; Algorithms; Animals; Area; Blood; Cardiac; Clinical; Collimator; Computer software; Data; Data Set; Diagnostic Imaging; Dose; Goals; Heart; Image; In Situ; Institution; Knowledge; Legal patent; Literature; Lung; Medical; Methods; Microscopy; Modeling; Molecular; Morphologic artifacts; Operative Surgical Procedures; Optics; Orthopedics; Patients; Performance; Perfusion; Predisposition; Process; Publishing; Radiation; Resolution; Retinal Cone; Rotation; Scanning; Slice; Societies; Solutions; Specimen; System; Techniques; Technology; Temporal bone structure; Time; Tissues; Uncertainty; Universities; Upper arm; Water; base; bone imaging; cellular imaging; cost; data acquisition; flexibility; image reconstruction; improved; interest; method development; nano; nanoscale; pre-clinical; public health relevance; reconstruction; research and development; research study; simulation; software development; success; theories; tomography

DESCRIPTION (provided by applicant): In contrast to the conventional wisdom that the interior problem does not have a unique solution, in 2007 we developed and patented the interior tomography technology (exact and stable interior reconstruction from x-ray projection data associated with only lines through an internal region of interest). When applying conventional CT algorithms to such an incomplete dataset, the features outside the ROI may create artifacts overlapping inside real features. Our new interior reconstruction theory assumes exact knowledge on a small subregion in the region of interest, such as air in the lungs, blood in the heart, etc. As a surprising result, exact and stable interior reconstruction becomes feasible! This break though has numerous biomedical implications, and will benefit or enable a wide range of CT applications including lung CT, cardiac CT, temporal bone imaging, intraoperative CT and so on, where we need to handle large objects, minimize radiation dose, suppress scattering artifacts, enhance temporal resolution, reduce system cost, and increase scanner throughput. The overall goal of this project is to develop both analytic and iterative reconstruction algorithms and software for interior tomography. The specific aims are to (1) develop analytic and theoretically exact interior reconstruction algorithms that have not been possible before; (2) develop efficient iterative interior reconstruction algorithms that incorporate additional constraints to improve image quality and reduce radiation dose further; and (3) evaluate the proposed interior reconstruction algorithms in numerical simulation and phantom experiments and develop the first of its kind software package for interior tomography. On completion of this project, we will have developed both analytic and iterative exact interior reconstruction algorithms for preclinical and clinical CT applications, and develop a commercial software package ready to be competitive on the marketplace. PUBLIC HEALTH RELEVANCE: In 2007 we developed and patented the interior tomography technology (exact and stable interior reconstruction from x-ray projection data associated with only lines through an internal region of interest). Our theory assumes exact knowledge on a small subregion in the region of interest, such as air in the lungs, blood in the heart, etc., so that for the first time exact and stable interior reconstruction becomes realistic. Our proposed methods and software will benefit or enable a wide range of CT applications including lung CT, cardiac CT, temporal bone imaging, intraoperative CT and so on, where we need to handle large objects, minimize radiation dose, suppress scattering artifacts, enhance temporal resolution, reduce system cost, and increase scanner throughput.

描述（由申请人提供）：与传统的内部问题没有独特解决方案的传统观念相比，在2007年，我们开发并为内部断层扫描技术（精确且稳定的内部重建从与仅通过内部利益区域相关联的X射线投影数据中的精确且稳定的内部重建）。将常规的CT算法应用于此类不完整的数据集时，ROI外部的功能可能会在真实功能中创建重叠的工件。我们的新内部重建理论在感兴趣的区域（例如肺部的空气，心脏的血液等）中假定了精确的知识。作为令人惊讶的结果，精确而稳定的室内重建变得可行！尽管这次休息时间具有许多生物医学含义，并且将受益或能够在包括肺CT，心脏CT，颞骨成像，术中CT等的各种CT应用中，我们需要处理大物体，最小化辐射剂量，最大程度地减少辐射剂量，降低暂时分辨率，增强暂时的分辨率，降低系统成本，降低系统成本，并降低系统成本，并增加扫描仪。该项目的总体目标是开发用于内部层析成像的分析和迭代重建算法和软件。具体目的是（1）开发以前无法使用的分析和理论上确切的内部重建算法； （2）开发有效的迭代内部重建算法，该算法结合了其他约束，以提高图像质量并进一步减少辐射剂量； （3）评估数值模拟和幻影实验中提出的内部重建算法，并开发用于内部层析成像的第一个相同的软件包。该项目完成后，我们将针对临床前和临床CT应用程序开发分析和迭代精确的室内重建算法，并开发一个商业软件包，准备在市场上具有竞争力。公共卫生相关性：2007年，我们开发了内部断层扫描技术并申请了专利（确切且稳定的内部重建，从仅通过感兴趣的内部区域与线相关联的X射线投影数据）。我们的理论在感兴趣的区域（例如肺部的空气，心脏中的血液等）中假定了一个小节的确切知识，因此首次精确且稳定的内部重建变得现实。我们提出的方法和软件将受益或启用广泛的CT应用，包括肺CT，心脏CT，颞骨成像，术中CT等，我们需要在此处处理大物体，最小化辐射剂量，抑制散射工件，增强暂时分辨率，降低系统成本，降低系统成本，并增加系统成本，并增加扫描仪，并增加扫描剂的贯穿器。