A Patient-Adaptive, High MI Abdominal Scanner

患者适应性高 MI 腹部扫描仪

• 批准号: 9753236
• 负责人: Gregg E. Trahey
• 金额: $ 57.48万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9753236
• 关键词: Abdomen; Acoustics; Algorithms; American; Clinic; Clinical; Clinical Research; Custom; Data; Diagnostic; Documentation; Feedback; Frequencies; Guidelines; Image; Individual; Institutes; Investigation; Literature; Liver; Malignant neoplasm of liver; Manufacturer Name; Measures; Mechanics; Medicine; Methods; Obesity; Output; Overweight; Patients; Penetration; Phase; Physicians; Physiologic pulse; Primary carcinoma of the liver cells; Procedures; Publishing; Research Personnel; Risk; Scanning; Screening procedure; Signal Transduction; System; Testing; Time; Ultrasonics; Ultrasonography; Work; base; cancer imaging; design; experience; experimental study; improved; in vivo; indexing; interest; novel; patient safety; patient subsets; screening; voltage

A Patient-Adaptive, High MI Abdominal Scanner We propose to construct and clinically evaluate an adaptive ultrasonic scanner that quickly and automatically adjusts system controls to optimize image quality and assists the sonographer in selecting a favorable acoustic window. We hypothesize that the quality of adaptively-optimized and guided window-selection images will exceed those acquired under conventional scanning conditions. We will test these hypotheses on a modified commercial scanner under the realistic clinical condition of Hepatocellular Carcinoma (HCC) screening. Optimized images will have rapidly- and adaptively-selected transmit power, frequency, focal depth(s), imaging mode (fundamental or harmonic) and other imaging parameters and will be acquired at two Mechanical Indices (the manufacturer’s default setting (MI=1.2), and the “patient-optimized” MI up to a limit of 2.5). On a significant subset of patients, our previous work has shown significant image quality improvements and increased depths of penetration associated with increased MI levels. Our initial studies, presented in this application, show the potential clinical benefits of automated selection of MI and other imaging parameters. Automated selection of MI, as proposed, will realize the ALARA (As Low as Reasonably Achievable) principle for acoustic exposure. Currently, sonographers acquire dozens of individual images during HCC screening for physician review and documentation. A number of published studies and our experience indicate that sonographers use system controls quite sparingly, especially the transmit power level control. Automated selection of imaging parameters and guided selection of acoustic windows should not only improve image quality and depth of penetration, but should also improve the efficiency of scanning procedures and reduce sonographers’ ergonomic challenges. Our initial results and the clinical literature also demonstrate the importance of acoustic window selection in improving image quality and the physical challenges that this task presents to sonographers using current methods, especially in overweight and obese patients. We propose to use the spatial coherence of backscattered echo signals as an image quality feedback parameter. Temporal coherence reflects the electronic SNR and can be used to measure the effective imaging depth in the liver. Our newly developed image quality metric, Lag One Coherence (LOC), quantifies the combined image-degrading effects of reverberation, off-axis scatterers, phase aberration and limited SNR. Our initial phantom and in vivo data demonstrate the robustness of the LOC image quality metric in rapidly determining the optimum patient-specific settings for transmit power, harmonic vs. fundamental imaging, focal depth, and frequency. Our initial data also supports the utility of the LOC in the real-time assessment of the quality of various acoustic windows. We propose to further explore the optimization of these and other imaging parameters and to develop pulse sequences and algorithms to efficiently estimate their preferred settings.

患者自适应，高腹部扫描仪 我们建议构建和临床评估自适应超声扫描仪，该扫描仪快速自动自动 调整系统控件以优化图像质量并协助超声检查员选择有利的声学 窗户。我们假设自适应优化和指导的窗户选择图像的质量将 超过在常规扫描条件下获得的那些。我们将在修改后测试这些假设 商业扫描仪在肝细胞癌（HCC）筛查的现实临床状态下。 优化的图像将具有快速和自适应的发射功率，频率，焦点深度，成像 模式（基本或谐波）和其他成像参数，将以两个机械指数获取 （制造商的默认设置（MI = 1.2）和“患者优化” MI的限制为2.5）。有意义 患者子集，我们以前的工作显示出显着的图像质量改进和深度增加 与MI水平升高有关的穿透性。我们在本应用程序中提出的最初研究表明 自动选择MI和其他成像参数的潜在临床益处。自动选择 据建议，MI将意识到声暴露的Alara（低于合理的实现）原则。 目前，超声检查员在HCC筛选期间获得了数十幅个人图像，以进行身体审查和 文档。许多已发表的研究和我们的经验指标，表明超声检查员使用系统 控制功能水平控制非常谨慎，尤其是发射功率控制。自动选择成像 参数和指导选择声窗不仅应提高图像质量和深度 渗透，但还应提高扫描程序的效率并减少超声检查员 符合人体工程学的挑战。我们的最初结果和临床文献也证明了声学的重要性 改善图像质量的窗口选择以及此任务给出的物理挑战 超声检查员使用当前方法，尤其是在超重和肥胖的患者中。 我们建议将反向散射回声信号的空间连贯性作为图像质量反馈 范围。时间连贯性反映了电子SNR，可用于测量有效成像 肝脏的深度。我们新开发的图像质量指标，滞后一个连贯性（LOC），量化了 回响，离轴散射器，相差和有限的SNR的结合图像降解效应。我们的 初始幻影和体内数据证明了迅速的LOC图像质量度量的鲁棒性 确定发射功率的最佳患者特定设置，谐波与基本成像，焦点 深度和频率。我们的初始数据还支持LOC在实时评估中的实用性 各种声窗的质量。我们建议进一步探索这些和其他成像的优化 参数并开发脉冲序列和算法，以有效估计其首选设置。