Deviceless and Autonomous Prospective Cardiac CT Triggering

无设备和自主前瞻性心脏 CT 触发

• 批准号: 10452540
• 负责人: Bruno De Man
• 金额: $ 101.54万
• 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/10452540
• 关键词: Algorithms; Anatomy; Bolus Infusion; California; Cardiac; Cause of Death; Clinical; Contrast Media; 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; coronary computed tomography angiography; deep learning; deep learning algorithm; experience; heart imaging; image reconstruction; imaging facilities; 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.

项目摘要/摘要 冠心病（CHD）是全球死亡的主要原因。估计有380万人和3.4 每年有百万妇女死于冠心病。心脏CT是一种安全，准确，非侵入性成像方式 诊断CHD和计划治疗干预措施。心脏CT考试仍然具有挑战性 由于心脏跳动，并且需要根据心脏阶段仔细计时扫描，并根据 达到了峰值对比度增强。整个考试持续时间和执行这些的复杂性 考试（与报销水平有限形成对比）患者对心脏CT的访问有限 医院和专门的心脏成像中心。与其他CT考试相比，心脏CT考试需要 额外的患者准备时间，额外的CT扫描以跟踪推注，并避免其他对比剂 缺少峰值增强。 该项目的目的是开发自动确定最佳的智能心脏CT扫描仪 扫描时间间隔，无心电图，传统的推注跟踪或定时推注。初始结果表明这是可能的 在诊断CT扫描之前，要从几个CT投影测量中提取心脏门控信息， 没有重建。快速X射线管脉冲和深度的创新组合使这成为可能 学习原始数据分析。该项目基于GE Research在心脏CT技术的经验，深处 学习算法和X射线管物理，以及大学的强大临床心脏CT专业知识 加利福尼亚圣地亚哥。 该项目的结果将是对自主触发方法的临床可行性研究， 有可能简化和增加患者进入心脏CT的机会，同时减少考试时间，从而减少。 Trast代理体积，并确保强大的图像质量。