Dynamic Imaging of Lung Ventilation and Perfusion Using CT and MRI

使用 CT 和 MRI 进行肺通气和灌注的动态成像

• 批准号: 10720415
• 负责人: Sean Bedilion Fain
• 金额: $ 74.98万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10720415
• 关键词: 3-Dimensional; Agreement; Anatomy; Asthma; Blood; Breathing; Bronchiectasis; Bronchiolitis; Chest; Chest imaging; Chronic; Chronic lung disease; Clinical; Clinical Management; Communicable Diseases; Compensation; Complement; Cystic Fibrosis; Data; Detection; Devices; Disease; Early Diagnosis; Elements; Environmental Risk Factor; Equilibrium; Exposure to; Fibrosis; Frequencies; Functional disorder; Gases; Genetic Diseases; Glass; Goals; Granuloma; Healthcare; Heterogeneity; Image; Image Enhancement; Incidence; Information Dissemination; Intervention; Ionizing radiation; Krypton; Learning; Localized Disease; Lung; Lung Transplantation; Lung diseases; Magnetic Resonance Imaging; Maps; Measurement; Methodology; Methods; Modeling; Monitor; Morphologic artifacts; Motion; Mucous body substance; Nodule; Noise; Nuclear; Outcome; Oxygen; Pathology; Patients; Pattern; Perfusion; Population; Prevalence; Process; Protocols documentation; Protons; Pulmonary Fibrosis; Pulmonary function tests; Radiation exposure; Radiology Specialty; Reader; Reproducibility; Resolution; Respiratory Disease; Scanning; Series; Site; Spirometry; Structure; Structure of parenchyma of lung; System; Techniques; Testing; Thoracic Radiography; Time; Treatment Efficacy; United States; Visualization; Visualization software; Work; X-Ray Computed Tomography; Xenon; airway obstruction; chest computed tomography; data acquisition; deep learning; deep learning model; design; experience; imaging modality; improved; lung imaging; lung lobe; lung volume; pulmonary symptom; radiologist; reconstruction; respiratory; single photon emission computed tomography; structural imaging; success; therapy development; tool; ventilation

Dynamic Oxygen-Enhanced MRI of Lung Structure and Function, PI: Sean B. Fain. Abstract This project will develop and optimize oxygen-enhanced (OE) imaging of dynamic ventilation of the lungs simultaneously with high resolution acquisition of lung parenchymal anatomy in a single, free-breathing 7-minute acquisition using 3D ultra-short time to echo (UTE) MRI. Advances in 3D UTE MRI now support regional imaging of lung anatomy with CT-like contrast, full chest coverage, and isotropic 1 mm spatial resolution. We will employ advanced motion compensation reconstruction with manifold-based deep learning and UTE center-out k-space trajectories to isolate respiratory motion from T1 changes due to oxygen wash-in and wash-out during free- breathing. The resulting motion compensated reconstruction provides both quantitative ventilation and high- resolution structure in a single 7-minute series. Multiple chronic lung diseases will be studied with this approach to establish utility and repeatability of the method in comparison to quantitative chest CT and hyperpolarized 129Xe MRI. Our preliminary data demonstrates the utility of MRI-only exam of lung structure and ventilation in a manner similar to that provided by nuclear SPECT with technegas and X-ray CT but without ionizing radiation. We hypothesize that 3D UTE MR imaging of ventilation dynamics will capture co-localized structure-function for monitoring ventilation heterogeneity relative to structural features of lung disease, including fibrosis, granulomas, mucus plugging, bronchiectasis, ground glass, and fibrosis. Radiology expert reader studies will be performed with direct comparison of UTE MRI with quantitative chest CT for depiction of structural and functional (derived from static multi-volumetric images) abnormalities, and OE MRI regional patterns of ventilation to hyperpolarized 129Xe MRI. We seek to create an MRI method and protocol for structure-function assessment of chronic lung disease with broad access, no exposure to ionizing radiation (allowing for longitudinal assessment at increased granularity), and using a safe, inexpensive and widely available paramagnetic gas. The specific aims of the project are to: 1) Improve data acquisition efficiency for 3D UTE MRI at clinical field strengths; 2) Develop dynamic OE MRI of oxygen ventilation wash-in and wash-out during free breathing, and 3) Develop OE MRI visualization and analysis tools for regional structure-function associations. The 3D OE MRI approach is inexpensive, uses proton-based contrast and can characterize both structural and functional aspects of chronic lung disease in a manner similar to SPECT/CT without concern for ionizing radiation exposure.

肺结构和功能的动态氧气增强MRI，PI：Sean B.Fain 摘要 该项目将开发和优化肺部动态通风的氧气增强(OE)成像 在高分辨率获取肺实质解剖的同时，在7分钟内自由呼吸 使用3D超短时间回波(UTE)MRI进行采集。3D UTE磁共振成像的进展现在支持区域成像 肺解剖的CT样对比，全胸部覆盖，各向同性1毫米空间分辨率。我们将聘用 基于流形的深度学习和UTE中心外k空间的高级运动补偿重建 将呼吸运动与自由时氧冲入和冲出引起的T1变化分离的轨迹 呼吸。由此产生的运动补偿重建既提供了定量通气量，又提供了高 一个7分钟系列中的分辨率结构。将用这种方法研究多种慢性肺部疾病。 建立该方法的实用性和重复性，并与胸部定量CT和超极化进行比较 129Xe磁共振成像。我们的初步数据证实了仅用MRI检查肺结构和通气量在慢性阻塞性肺疾病中的作用。 方法类似于核素SPECT技术和X射线CT，但无电离辐射。 我们假设呼吸动力学的3D UTE MR成像将捕捉到共同局域的结构功能 监测与肺部疾病结构特征相关的通风异质性，包括纤维化、肉芽肿、 粘液堵塞、支气管扩张、毛玻璃和纤维化。将进行放射学专家读者研究 UTE MRI与胸部定量CT在结构和功能描述方面的直接比较(衍生 从静态多体积图像)异常，以及OE MRI的区域通风模式到超极化 129Xe磁共振成像。我们试图创建一种用于慢性肺结构-功能评估的MRI方法和方案 疾病途径广泛，不暴露于电离辐射(允许在增加的情况下进行纵向评估 粒度)，并使用安全、廉价且可广泛获得的顺磁性气体。《公约》的具体目标 项目是：1)在临床领域的优势下提高3DUTE MRI的数据采集效率；2)开发 自由呼吸时氧气排入和排出的动态OE MRI；3)发生OE 用于区域结构-功能关联的MRI可视化和分析工具。3D OE MRI 该方法成本低廉，使用基于质子的对比，可以同时表征结构和功能方面 以类似于SPECT/CT的方式诊断慢性肺部疾病，而无需担心电离辐射照射。