Deviceless and Autonomous Prospective Cardiac CT Triggering

无设备和自主前瞻性心脏 CT 触发

• 批准号: 10029731
• 负责人: Bruno De Man
• 金额: $ 106.06万
• 依托单位: GENERAL ELECTRIC GLOBAL RESEARCH CTR
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10029731
• 关键词: Algorithms; Anatomy; Angiography; Bolus Infusion; California; Cardiac; Cause of Death; Clinical; Contrast Media; Coronary; Coronary heart disease; Data; Data Analyses; Diagnosis; Diagnostic; Electrocardiogram; Ensure; Feasibility Studies; Financial compensation; Goals; Heart; Hospitals; Image; Institutional Review Boards; Iodine; Measurement; Morphology; Motion; Myocardial; Outcome; Patients; Performance; Perfusion; Phase; Physics; Physiologic pulse; Preparation; Prospective Studies; Protocols documentation; Radiation Dose Unit; Research; Roentgen Rays; Rotation; Scanning; System; Techniques; Technology; Therapeutic Intervention; Time; Training; Translating; Tube; Universities; Woman; X-Ray Computed Tomography; algorithm development; base; contrast enhanced; deep learning; deep learning algorithm; experience; heart imaging; image reconstruction; imaging modality; innovation; men; non-invasive imaging; prospective; reconstruction; standard of care; temporal measurement; time interval

PROJECT SUMMARY/ABSTRACT Coronary heart disease (CHD) is the leading cause of death worldwide. An estimated 3.8 million men and 3.4 million women die each year from CHD. Cardiac CT is a safe, accurate, non-invasive imaging modality used for diagnosing CHD and for planning therapeutic interventions. Cardiac CT exams are still challenging to perform due to the beating heart and the need to carefully time the scan based on cardiac phase and based on when the peak iodine contrast enhancement is reached. The overall exam duration and the complexity of performing these exams (contrasted with limited reimbursement levels) have limited patient access to cardiac CT to academic hospitals and specialized cardiac imaging centers. As compared to other CT exams, cardiac CT exams require additional patient preparation time, additional CT scans to track the bolus, and additional contrast agent to avoid missing the peak enhancement. The goal of this project is to develop a smart cardiac CT scanner that autonomously determines the optimal scan time interval without ECG, traditional bolus tracking or timing bolus. Initial results show that it is possible to extract cardiac gating information from a few CT projection measurements prior to the diagnostic CT scan, without reconstruction. This is made possible by an innovative combination of fast X-ray tube pulsing and deep learning raw data analysis. This project builds on GE Research's experience with cardiac CT technologies, deep learning algorithms and X-ray tube physics, as well as the strong clinical cardiac CT expertise at the University of California San Diego. The outcome of this project will be a clinical feasibility study of the autonomous triggering approach, which has the potential to simplify and increase patient access to cardiac CT, while reducing exam time, reducing con- trast agent volume, and ensuring robust image quality.

项目概要/摘要 冠心病（CHD）是全世界死亡的主要原因。估计有 380 万男性和 3.4 每年有数百万妇女死于冠心病。心脏CT是一种安全、准确、无创的成像方式，用于 诊断 CHD 并规划治疗干预措施。心脏 CT 检查仍然具有挑战性 由于心脏跳动，并且需要根据心脏相位和心脏何时开始仔细计算扫描时间 达到碘对比度增强峰值。总体考试持续时间和执行这些考试的复杂性 检查（与有限的报销水平相比）限制了患者获得心脏 CT 的学术机会 医院和专门的心脏成像中心。与其他CT检查相比，心脏CT检查需要 额外的患者准备时间、追踪推注的额外 CT 扫描以及避免使用的额外造影剂 缺少峰值增强。 该项目的目标是开发一款智能心脏 CT 扫描仪，可自主确定最佳心脏 CT 扫描仪 扫描时间间隔无需心电图、传统推注跟踪或定时推注。初步结果表明这是可能的 在诊断 CT 扫描之前从一些 CT 投影测量中提取心脏门控信息， 无需重建。这是通过快速 X 射线管脉冲和深度扫描的创新组合来实现的。 学习原始数据分析。该项目以 GE Research 在心脏 CT 技术方面的经验为基础，深入 学习算法和 X 射线管物理，以及大学强大的临床心脏 CT 专业知识 加利福尼亚州圣地亚哥。 该项目的成果将是自主触发方法的临床可行性研究，该方法 有潜力简化并增加患者接受心脏 CT 的机会，同时减少检查时间、减少费用 造影剂体积，并确保稳定的图像质量。