BSSVE for Multi-Dimensional Blood Velocity Measurement

描述(由申请人提供)： 基于盲源分离的速度估计(BSSVE)是一种新的、专有的多维血流速度测量技术，旨在开发成一种准确、高效的软件工具，用于利用超声测量周围血管的血流速度。与传统的仅限于轴向速度估计的多普勒运动估计方法不同，BSSVE能够同时测量轴向和侧向血流分量。因此，BSSVE提供了比目前传统超声扫描仪更准确的血液动力学计算。通过BSSVE增强外周血管多维血流速度的测量，将导致对心血管疾病(CVD)和外周动脉疾病(PAD)的更灵敏的检测，早期疾病治疗和随后减少缺血事件的频率。此外，同样的BSSVE技术也适用于同时测量血管壁、内膜中层和血液的多维速度。这种并发速度信息将更完整地描述CVD和PAD指标以及疾病发展的可能机制。 BSSVE技术采用盲源分离(BSS)信号分解。导出的盲源分离基函数对多维运动进行编码。BSSVE将使用模拟、体模和临床外周血管数据进行验证，并与多普勒和斑点跟踪速度估计方法进行比较。此外，BSSVE将用于测量血管壁和内膜中层速度，并与血流速度计算相结合。最后，对具有特殊色彩流渲染的BSSVE进行简明编码，并制作成实时软件包。BSSVE软件工具将作为现有系统的产品升级产品向领先的超声波供应商销售，在美国的收入可能高达320万美元，在全球超声市场可能达到3200万美元。

DESCRIPTION (provided by applicant): Blind Source Separation-Based Velocity Estimation (BSSVE), a novel and proprietary technology for multidimensional blood velocity measurement, is presented for development into an accurate and efficient software tool for blood velocity measurement in the peripheral vasculature with ultrasound. Unlike conventional Doppler motion estimation methods, which are limited to velocity estimation in only the axial dimension, BSSVE is capable of measuring both axial and lateral blood flow components. Therefore, BSSVE offers more exact computation of blood hemodynamics than currently possible with conventional ultrasound scanners. Enhanced measurement of multi-dimensional blood velocity in peripheral vessels, made possible with BSSVE, will lead to more sensitive detection of cardiovascular disease (CVD) and peripheral arterial disease (PAD), with earlier disease treatment and subsequent reduction in the frequency of ischemic events. Further, the same BSSVE technology is applicable to simultaneous measurement of vessel wall, intima media, and blood multi-dimensional velocities. Such concurrent velocity information will provide a more complete depiction of CVD and PAD indicators and possible mechanisms of disease development. The BSSVE technology employs Blind Source Separation (BSS) signal decomposition. The derived BSS basis functions encode multi-dimensional motion. BSSVE will be validated and compared to Doppler and Speckle Tracking velocity estimation methods using simulated, phantom, and clinical peripheral vessel data. Further, BSSVE will be implemented for vessel wall and intima media velocity measurement in conjunction with blood velocity computation. Finally, BSSVE with specialized colorflow rendering will be concisely coded and made into a real-time software package. The BSSVE software tool will be marketed to leading ultrasound vendors as a product upgrade to their existing systems, with revenues of up to $US3.2 million possible in the United States and $US32 million possible in the world-wide ultrasound market.