Functional Lung Imaging Using a Single kV CT Acquisition

使用单 kV CT 采集进行功能性肺部成像

• 批准号: 10667565
• 负责人: Guang-Hong Chen
• 金额: $ 75.96万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10667565
• 关键词: Accident and Emergency department; Acute; Age; Angiography; Animals; Blood Volume; COVID-19 diagnosis; COVID-19 pandemic; COVID-19 pneumonia; Cessation of life; Chronic; Clinical; Coagulation Process; Data; Defect; Diagnosis; Disease; Economic Burden; Endothelium; Evaluation; Event; Fibrin fragment D; Functional Imaging; Glass; Health; Image; Incidence; Iodine; Laboratories; Lung; Manufacturer; Maps; Methods; Modality; Modeling; Morbidity - disease rate; Morphologic artifacts; Morphology; Motion; Patients; Perfusion; Physics; Prognosis; Pulmonary Embolism; Pulmonary Infarction; Pulmonary vessels; Radiation Dose Unit; Radionuclide Imaging; Recurrence; Research; SARS-CoV-2 infection; Serology test; Structure of parenchyma of lung; Study Subject; Symptoms; Thrombophilia; Thrombosis; United States; Vasculitis; Venous; X-Ray Computed Tomography; chronic thromboembolic pulmonary hypertension; clinical risk; commercialization; contrast enhanced computed tomography; deep learning; diagnostic accuracy; global health; human subject; imaging modality; improved; innovation; learning strategy; lifetime risk; lung imaging; mortality; network models; perfusion imaging; predictive tools; single photon emission computed tomography; technological innovation; technology development; venous thromboembolism; ventilation

ABSTRACT Venous thromboembolism is a major global health and economic burden with about 10 million cases occurring every year, and a high lifetime risk of 8% after age 45 years. Pulmonary embolism (PE) is a venous thromboembolic event associated with high morbidity and mortality, with about 20% incidence of death before diagnosis or shortly thereafter. Most recently, the COVID-19 pandemic has contributed to a marked increase in patients presenting with acute pulmonary thromboembolic disease, most likely created when the infectious vasculitis involving the endothelium creates local arterial thrombosis and subsequent lung infarction, with a superimpose hypercoagulable state that promotes clot formation. In these patients, it is increasingly being recognized that pulmonary perfusion abnormalities associated with the lung consolidations and ground-glass opacities are important predictors of poor prognosis. Currently, pulmonary CT angiography (CTA) has become the preferred method for diagnosing PE and planar lung ventilation/perfusion (V/Q) scintigraphy is used in cases when pulmonary CTA is contraindicated. A compelling unmet clinical need is to develop a method for simultaneous pulmonary CTA and parenchymal perfusion assessment without the use of two modalities like CTA and SPECT perfusion in the same patient. In this project, an imaging physics-based deep learning method will be developed to extract the previously overlooked spectral information inherently encoded in the acquired contrast enhanced CT projection data. As a result of this breakthrough, this new spectral CT imaging method, referred to as Deep-En-Chroma, will be developed and validated for perfusion defect quantification in lung parenchyma from the currently available pulmonary CTA. This will be accomplished without the need for any expensive dual energy CT (DECT) hardware upgrades that have been commercialized by major CT manufacturers. In summary, upon the completion of this project, a new functional CT imaging method will have been developed, that in addition to providing the currently available pulmonary CTA images, will also detect perfusion defects in lung parenchyma without the requirement of high-end DECT hardware.

抽象的 静脉血栓栓塞是全球主要的健康和经济负担，发生了约1000万例 每年，45岁以后的终身风险高8％。肺栓塞（PE）是静脉 血栓栓塞事件与高发病率和死亡率相关，死亡发生率约为20％ 诊断或此后不久。最近，COVID-19大流行已导致显着增加 出现急性肺血栓栓塞性疾病的患者，很可能在传染性时产生 涉及内皮的血管炎会产生局部动脉血栓形成和随后的肺部梗塞，并具有 叠加促进凝块形成的高凝状态。在这些患者中，它越来越 认识到肺部灌注异常与肺部合并和地面玻璃 不熟悉性是预后不良的重要预测指标。目前，肺CT血管造影（CTA）已成为 诊断PE和平面肺通风/灌注（v/q）的首选方法在情况下使用 禁用肺CTA时。令人信服的未满足临床需求是开发一种方法 同时使用肺CTA和实质灌注评估，而无需使用CTA等两种模式 和同一患者的Spect灌注。在这个项目中，基于成像物理的深度学习方法将 开发以提取以前固有编码的先前被忽略的光谱信息 对比增强的CT投影数据。由于这一突破，这种新的光谱CT成像方法， 将被称为深质细胞瘤 当前可用的肺CTA的实质。这将在无需任何需要的情况下完成 昂贵的双能CT（DECT）硬件升级已由主要CT商业化 制造商。总而言之，该项目完成后，将有一种新的功能CT成像方法 已经开发出来，除了提供当前可用的肺CTA图像外，还将检测到 肺实质中的灌注缺陷无需高端DECT硬件。

项目成果

A quality-checked and physics-constrained deep learning method to estimate material basis images from single-kV contrast-enhanced chest CT scans.

• DOI: 10.1002/mp.16352
• 发表时间: 2023-06
• 期刊: MEDICAL PHYSICS
• 影响因子: 3.8
• 作者: Li, Yinsheng;Tie, Xin;Li, Ke;Zhang, Ran;Qi, Zhihua;Budde, Adam;Grist, Thomas M.;Chen, Guang-Hong
• 通讯作者: Chen, Guang-Hong

Accurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS).

• DOI: 10.1002/mp.15183
• 发表时间: 2021-10
• 期刊: Medical physics
• 影响因子: 3.8

Reconstruction of three-dimensional tomographic patient models for radiation dose modulation in CT from two scout views using deep learning.

• DOI: 10.1002/mp.15414
• 发表时间: 2022-03
• 期刊: Medical physics
• 影响因子: 3.8