QB-Mode Ultrasonic Imaging

QB 模式超声成像

• 批准号: 7140536
• 负责人: Emad S. Ebbini
• 金额: $ 19.16万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-08 至 2008-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7140536
• 关键词: bioengineering /biomedical engineering; bioimaging /biomedical imaging; contrast media; heart imaging /visualization /scanning; technology /technique development; time resolved data

DESCRIPTION (provided by applicant): A system for separating linear and nonlinear components of beamformed data from pulse-echo ultrasound imaging systems is proposed. This proposal investigates a system for separating linear and quadratic components of the echo data based on a second-order Volterra filter (SVF) model. The quadratic component of this decomposition can be presented in grayscale in a manner similar to the familiar B-mode imaging. This leads to a new form of grayscale imaging, referred to in this proposal as QB-mode imaging. QB-mode images are shown to be sensitive to quadratic signal components due to nonlinear propagation and/or microbubble ultrasound contrast agents (UCA). preliminary results clearly show that QB-mode images are superior to second harmonic (SH) images in both spatial and contrast resolution. Moreover, comparison with more specialized UCA imaging methods such as pulse inversion (PI) shows that QB-mode imaging is capable of achieving the same level of sensitivity and specificity to UCA without the need for multiple transmit pulses, thus preserving the frame rate of ultrasound imaging systems. This can be quite advantageous for imaging UCA for left ventricle opacification (LVO). In addition, QB-mode imaging has increased dynamic range allowing for display of tissue and contrast components on the same image allowing better diagnosis in radiologic examinations with or without UCA. This proposal requests funding to further investigate the characteristics of QB-mode imaging for a variety of imaging targets (e.g. high-frequency probes for breast cancer detection with or without UCA, phased array probes with UCA, etc.) In particular, we will investigate the optimization of the derivation of the SVF kernel coefficients for specific imaging scenarios, efficient adaptive implementation of the SVF, and pulsecompression properties of the quadratic component of the SVF in native QB-mode and in the presence of UCA. The real-time implementation of the optimal and adaptive SVFs using field programmable array (FPGA) technology will be emphasized throughout the project period.

描述（由申请人提供）： 提出了一种用于将光束数据的线性和非线性组件与脉搏回波超声成像系统分离的系统。该建议研究了一个基于二阶Volterra滤波器（SVF）模型的回声数据线性和二次组件的系统。该分解的二次成分可以以类似于熟悉的B模式成像的方式以灰度呈现。这导致了一种新的灰度成像形式，在此提案中称为QB模式成像。由于非线性传播和/或Microbubble超声对比度（UCA），QB模式图像显示对二次信号成分敏感。初步结果清楚地表明，QB模式图像在空间和对比度分辨率中都优于第二谐波（SH）图像。此外，与更专业的UCA成像方法（例如脉冲反转（PI））的比较表明，QB模式成像能够达到对UCA的敏感性和特异性，而无需多次发射脉冲，从而保留了超声成像系统的帧速率。这对于对UCA的左心室不透明（LVO）的成像可能非常有利。此外，QB模式成像具有增加的动态范围，可以在同一图像上显示组织和对比分量，从而可以在有或没有UCA的放射学检查中更好地诊断。该提案要求资金进一步研究各种成像目标的QB模式成像的特征（例如，有或没有UCA的乳腺癌检测的高频探针，使用UCA进行的分阶段阵列探测等等），我们将尤其将研究针对SVF kernel seveftients的衍生量的优化。 SVF的二次分量在天然QB模式和UCA存在下。在整个项目期间，将强调使用现场可编程数组（FPGA）技术的最佳和自适应SVF的实时实现。