Next generation of ultrasound strain imaging and elastography based on the coherent use of multiple transducers

基于多个换能器的相干使用的下一代超声应变成像和弹性成像

• 批准号: 2698741
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2698741
• 关键词: Next; generation; ultrasound; strain; imaging

Ultrasound elastography is a non-invasive imaging technique for measuring the mechanical properties of tissue. Displacement and strain measurements are dependent on the quality of ultrasound data, such as resolution and contrast, and current elastography methods can only measure displacements in one direction. The mechanical properties of soft tissues however are not isotropic and change in different directions. Therefore, elastography measurements would benefit from multi-perspective imaging methods and improvements in imaging sensitivity.Coherent multi-transducer ultrasound (CoMTUS) extends the effective aperture of ultrasound images, directly improving the resolution, contrast, and field of view (FOV). This multi-perspective approach may be used to improve displacement tracking estimates in 2D/3D and generate a full strain field.This project aims to combine CoMTUS imaging with elastography techniques to improve the accuracy of displacement measurements and calculate the full strain tensor. The methodology contains three main steps. First, 2D and 3D tracking methods will be implemented using state-of-the-art tracking algorithms for either radiofrequency data or speckle tracking. This will involve optimizing the transducer and beamforming parameters for resolution, signal-to-noise ratio and FOV according to the features of the tracking algorithm. Also, strain and shear wave deformation methods will be investigated and adapted to exploit the multi-view data. Second, the full strain field will be calculated based on the 2D/3D tracking methods developed. Validation frameworks using finite element modelling, ultrasound simulations and experiments will be developed to measure the displacements in all directions and the strain tensor will be calculated.Finally, the improvements in elastography imaging will be quantified using calibration phantoms and possible future clinical applications will be explored.

超声弹性成像是一种非侵入性的成像技术，用于测量组织的机械特性。位移和应变的测量依赖于超声数据的质量，如分辨率和对比度，而目前的弹性成像方法只能测量一个方向的位移。然而，软组织的力学特性不是各向同性的，其变化方向各不相同。因此，弹性成像测量将受益于多角度成像方法和成像灵敏度的提高。相干多换能器超声(CoMTUS)扩展了超声图像的有效孔径，直接提高了分辨率、对比度和视场(FOV)。这种多角度方法可用于改进2D/3D中的位移跟踪估计，并生成全应变场。本项目旨在将CoMTUS成像与弹性成像技术相结合，以提高位移测量的精度，并计算全应变张量。该方法包括三个主要步骤。首先，2D和3D跟踪方法将使用最先进的跟踪算法来实现，用于射频数据或斑点跟踪。这将涉及到根据跟踪算法的特点来优化换能器和波束形成参数，以获得分辨率、信噪比和视场。此外，还将研究应变和横波形变方法，并采用这些方法来开发多视角数据。其次，将根据开发的2D/3D跟踪方法计算全应变场。将开发使用有限元建模、超声模拟和实验的验证框架来测量所有方向的位移，并计算应变张量。最后，将使用校准模型来量化弹性成像成像的改进，并探索未来可能的临床应用。