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Simulation Tools for 3D and 4D CT and Dosimetry

用于 3D 和 4D CT 及剂量测定的仿真工具

基本信息

批准号：
10624215
负责人：
Ehsan Samei
金额：
$ 54.54万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2005
资助国家：
美国
起止时间：
2005-09-22 至 2025-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10624215
关键词：
3-Dimensional Abdomen Acceleration Anatomy Cancerous Cardiac Caring Clinic Clinical Computer software Contrast Media Data Detection Development Devices Disease Dose Ensure Ethics Evaluation Foundations Functional Imaging Funding Health Heterogeneity Human Image Imaging Phantoms Imaging technology Industry Lesion Manufacturer Methods Modeling Morphologic artifacts Morphology Noise Organ Pathologic Patient imaging Patients Performance Perfusion Photons Population Radiation Radiation Dose Unit Radiation exposure Research Design Resolution Resources Role Safety Scientist Series Specimen Stenosis System Task Performances Techniques Technology Texture Tissue Model Tissues Work X-Ray Computed Tomography analytical method cardiac plaque clinical application clinical care clinical practice computerized computerized tools cost cost efficient deep learning design detector dosimetry experimental study human subject improved insight learning strategy photon-counting detector prototype quantitative imaging simulation soft tissue tool unethical virtual virtual imaging

项目摘要

Abstract Photon-counting CT (PCCT) is a major technological advance in CT imaging. Using photon-counting instead of current energy-integrating detectors, PCCT can offer superior performance in terms of spatial resolution, artifact reduction, and most notably, material decomposition. PCCT’s energy differentiation utility offers an ability to more precisely distinguish different materials and optimize and expand the use of contrast agents in CT. With these abilities, PCCT can significantly facilitate quantitative imaging, reduce radiation exposure, and enable revolutionary new applications in functional and physiological imaging beyond existing CT techniques. To realize the full potential of PCCT in clinical practice, the technology needs comprehensive assessments and application-based optimizations. Effective design and deployment of PCCT depends on many design and use choices that should be made in view of the eventual clinical utility. Making these choices requires large scale trials on actual patients. However, such trials are challenging, considering the need to make many decisions prior to prototyping, the limited numbers of prototype PCCT scanners available today, and the often-unknown ground-truth in the patient images. Even for existing prototype systems, many decisions require repetitive trials with multiple acquisitions. This is both unethical and impractical considering radiation safety concerns and costs. These challenges can be overcome by utilizing virtual imaging trials (VITs) using computerized patients and imaging models. VITs provide an efficient means with which to determine the most effective and optimized design and use of imaging technologies with complete control over the study design. In our prior funded project, we developed a VIT framework to evaluate standard energy-integrating detector CT technologies. In this project, we expand the applicability of this framework to photon-counting detector CT. Specifically, we enhance our computational XCAT phantoms to model the necessary higher-resolution detail including normal and abnormal tissue heterogeneities and intra-organ contrast perfusion diversity across populations (Aim 1). To image the phantoms, we develop the first PCCT simulator capable of mimicking existing and emerging prototypes (Aim 2). The enhanced VIT framework will provide the essential foundation with which to comprehensively evaluate and optimize PCCT technologies and applications. In Aim 3, we assess and optimize the use of PCCT for morphological, textural, and compositional quantification in select oncologic and cardiac applications, two leading health detriments in the US where PCCT can offer a notable impact. The results will be the first of their kind in comprehensively evaluating the task-based merits and capabilities of PCCT, determining optimum dose per patient size for PCCT imaging of patients for cancerous lesions and cardiac plaque/stenoses, and helping to establish the effective utility of PCCT in clinical care.

摘要光子计数CT（PCCT）是CT成像的主要技术进步。用光子计数代替目前的能量积分探测器，PCCT可以提供上级性能方面的空间分辨率，伪影减少，最重要的是材料分解。PCCT的能量差异化效用提供了一种能力，精确区分不同材料，优化和扩大造影剂在CT中的使用。与这些能力，PCCT可以显着促进定量成像，减少辐射暴露，超越现有CT技术的功能和生理成像革命性新应用。为了实现PCCT在临床实践中的全部潜力，需要对该技术进行全面评估，基于应用程序的优化。PCCT的有效设计和部署取决于许多设计和使用根据最终的临床效用做出选择。做出这些选择需要大规模对实际患者进行试验。然而，考虑到需要做出许多决定，这种审判具有挑战性在原型制作之前，目前可用的PCCT扫描仪原型数量有限，病人图像中的真实情况即使对于现有的原型系统，许多决策也需要反复试验多个收购。考虑到辐射安全问题和成本，这是不道德和不切实际的。这些挑战可以通过使用计算机化患者的虚拟成像试验（VITs）来克服，成像模型。VITs为确定最有效和最优化的设计提供了一种有效的方法以及使用成像技术，完全控制研究设计。在我们之前的资助项目中，我们开发了一个VIT框架来评估标准能量积分探测器CT 技术.在这个项目中，我们扩展了这个框架的适用性光子计数探测器CT。具体来说，我们增强了我们的计算XCAT幻影，以模拟必要的更高分辨率的细节包括正常和异常组织异质性和器官内造影剂灌注多样性人口（目标1）。为了成像幻影，我们开发了第一个能够模仿现有PCCT模拟器。和新兴原型（目标2）。增强的虚拟信息技术框架将提供必要的基础，全面评估和优化PCCT技术和应用。在目标3中，我们评估和优化PCCT在选择肿瘤学和免疫学中的形态、纹理和成分定量的使用，心脏应用，这是美国两大领先的健康领域，PCCT可以在其中产生显著的影响。结果将首次全面评估PCCT基于任务的优点和能力，确定用于癌性病变和心脏病患者的PCCT成像的每个患者体型的最佳剂量斑块/狭窄，并帮助建立PCCT在临床护理中的有效效用。

项目成果

期刊论文数量（98）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Establishing a framework to implement 4D XCAT phantom for 4D radiotherapy research.

DOI：
10.4103/0973-1482.106539
发表时间：
2012-10
期刊：
Journal of cancer research and therapeutics
影响因子：
1.3
作者：
Panta RK;Segars P;Yin FF;Cai J
通讯作者：
Cai J

Generative learning approach for radiation dose reduction in X-ray guided cardiac interventions.

DOI：
10.1002/mp.15654
发表时间：
2022-06
期刊：
MEDICAL PHYSICS
影响因子：
3.8
作者：
Azizmohammadi, Fariba;Castellanos, Inaki Navarro;Miro, Joaquim;Segars, Paul;Samei, Ehsan;Duong, Luc
通讯作者：
Duong, Luc

Virtual Imaging Trials for Coronavirus Disease (COVID-19).