A Patient-Adaptive, High MI Abdominal Scanner

患者适应性高 MI 腹部扫描仪

• 批准号: 9924596
• 负责人: Gregg E. Trahey
• 金额: $ 57.08万
• 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/9924596
• 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MI腹部扫描仪 我们建议构建并临床评估一种快速自动的自适应超声扫描仪 调整系统控制以优化图像质量，并帮助声谱仪操作员选择有利的声学 窗口我们假设，自适应优化和引导窗口选择图像的质量将 超过在常规扫描条件下获得的那些。我们将在一个修改后的 在肝细胞癌（HCC）筛查的实际临床条件下， 优化的图像将具有快速和自适应选择的发射功率、频率、焦深、成像 模式（基波或谐波）和其他成像参数，并将在两个机械指数下采集 (the制造商的默认设置（MI=1.2）和“患者优化”MI上限为2.5）。在一个重要 患者的子集，我们以前的工作已经显示出显着的图像质量改善和增加的深度 与MI水平增加相关的渗透率。我们在本申请中提出的初步研究表明， 自动选择MI和其他成像参数的潜在临床受益。自动选择 如所提议的，MI将实现声暴露的ALARA（尽可能低的合理噪声）原则。 目前，超声医师在HCC筛查期间采集数十个单独的图像以供医生审查， 文献.一些已发表的研究和我们的经验表明，超声医师使用系统 控制相当保守，特别是发射功率电平控制。自动选择成像 声窗的参数和引导选择不仅应改善图像质量和深度， 渗透，但也应该提高扫描程序的效率，并减少超声波检查员的 人体工程学挑战我们的初步结果和临床文献也证明了声学的重要性 窗口选择在提高图像质量方面的作用以及该任务带来的物理挑战 超声医师使用当前的方法，特别是在超重和肥胖患者。 我们建议使用后向散射回波信号的空间相干性作为图像质量反馈 参数.时间相干性反映了电子的信噪比，可以用来衡量成像的有效性 肝脏的深度。我们新开发的图像质量指标Lag One Coherence（滞后一致性） 混响、离轴散射体、相位畸变和有限SNR的组合图像劣化效应。我们 初始体模和体内数据证明了快速成像中MRI图像质量度量的鲁棒性。 确定用于发射功率、谐波与基波成像、聚焦成像和聚焦成像的最佳患者特异性设置。 深度和频率。我们的初步数据也支持实用的实时评估的实时评估的 各种声学窗口的质量。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，以有效地估计他们的首选设置。