Harmonisation and quantification of PET imaging for lung diseases

肺部疾病 PET 成像的协调和量化

• 批准号: 2365160
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2365160
• 关键词: Harmonisation; quantification; PET; imaging; lung

1) Brief description of the context of the research including potential impactApproximately 10,000 people are diagnosed with a lung disease every week, with one death from the condition every 5 minutes in the UK, accounting for 20.1% of deaths in 2012. Non-invasive molecular imaging techniques such as Positron Emission Tomography and Computed Tomography (PET/CT) provide functional and structural information used to develop novel imaging biomarkers and can play an important role in diagnosing lung abnormalities and assessing disease progression and treatment response. However, accurate quantification of PET/CT lung imaging is challenging due to respiratory motion and the presence of large variations in fractions of tissue, air, blood and water. Image quality is further degraded by positron range effects as well as image reconstruction and registration approaches. To address these challenges, a lung test-object with tissue mimicking materials will be developed to validate existing tissue fraction, positron range and motion correction methods.2) Aims and objectivesThe specific objectives are to improve the accuracy and precision of PET/CT lung imaging and develop standardised protocols to enable reproducible measurements between clinical centres. This would enable multi-centre clinical trials of treatment efficacy to be conducted that use PET/CT as a pharmacodynamic endpoint. 3) Novelty of the research methodologyThe production of novel 3D printing materials with tissue mimicking properties, with which to construct the lung test-object, will be investigated. Monte Carlo simulations will be undertaken to model the radiation transport in the designed geometries, against which the experimental measurements can be validated. 4) Alignment to EPSRC's strategies and research areasThe design of application-specific test-objects to optimise parameters for lung imaging corrections will allow centre-specific correction optimisation. This will aid in standardisation of quantification in multi-centre clinical trials assessing treatment efficacy. This work aligns to the EPSRC's Healthcare technologies theme, specifically the challenge of "Optimising care through effective diagnosis, patient-specific prediction and evidence-based intervention" through optimisation of Medical Imaging.5) Any companies or collaborators involvedNational Physical Laboratory (NPL)GlaxoSmithKline Research & Development Limited (GSK)

1)研究背景的简要描述，包括潜在的影响每周约有10，000人被诊断患有肺部疾病，在英国每5分钟就有一人死于这种疾病，占2012年死亡人数的20.1%。非侵入性分子成像技术，如正电子发射断层扫描和计算机断层扫描（PET/CT）提供用于开发新的成像生物标志物的功能和结构信息，并可在诊断肺部异常和评估疾病进展和治疗反应中发挥重要作用。然而，由于呼吸运动以及组织、空气、血液和水的分数存在较大变化，PET/CT肺成像的准确量化具有挑战性。正电子距离效应以及图像重建和配准方法进一步降低了图像质量。为了应对这些挑战，将开发具有组织模拟材料的肺部测试对象，以验证现有的组织分数、正电子范围和运动校正方法。2）目的和目标具体目标是提高PET/CT肺部成像的准确性和精确度，并开发标准化协议，以实现临床中心之间的可重复测量。这将使使用PET/CT作为药效学终点的治疗疗效的多中心临床试验得以进行。3)研究方法的新奇将研究具有组织模拟特性的新型3D打印材料的生产，用于构建肺部测试对象。将进行蒙特卡罗模拟，以模拟设计的几何形状中的辐射传输，从而验证实验测量结果。4)与EPSRC的策略和研究领域保持一致设计应用特定的测试对象以优化肺部成像校正的参数将允许中心特定的校正优化。这将有助于在多中心临床试验中评估治疗疗效的量化标准化。这项工作符合EPSRC的医疗保健技术主题，特别是通过优化医学成像“通过有效诊断、患者特异性预测和循证干预优化护理”的挑战。5）任何参与的公司或合作者国家物理实验室（NPL）葛兰素史克研发有限公司（GSK）