Super Resolution Ultrasound Imaging

超分辨率超声成像

• 批准号: EP/N014855/1
• 负责人: Robert Eckersley
• 金额: $ 46.15万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FN014855%2F1
• 关键词: Super; Resolution; Ultrasound; Imaging

Context Many micro-vascular related diseases, such as those associated with diabetes, ischemia and cancer, exhibit changes in the micro-vascular structure and blood-flow. The measurement of micro-vascular morphology and changes in blood flow dynamics is therefore essential for early diagnosis and monitoring. Current clinical imaging modalities cannot adequately resolve the microvasculature or flow dynamics at clinically useful depths. The proposed work would generate three-dimensional (3D) super-resolved ultrasound vascular imaging and velocity mapping at clinical depths in vivo. We have successfully demonstrated that single microbubble localisation can produce acoustic super-resolution and super-resolved flow velocity images in vivo from standard image data acquired by an unmodified clinical ultrasound system using simple post-processing localisation algorithms. We achieved visualisation and velocity measurements of vessel structures below 20 micro-metres in vivo. Our present work is limited by the underlying two dimensional acquisition strategy; this means that there is no super-resolution information in the third dimension. We propose to overcome this by incorporating recent advances in US imaging technology in order to push beyond the established resolution limits of ultrasound imaging to translate this approach into a clinically useful imaging modality.Aims and ObjectivesOur objective is to develop 3D ultrasound super-resolution imaging of the microvasculature at depths of up to 10 cm with acquisition times that are clinically useful. We aim to be the first group in the world to demonstrate this in humans. To facilitate this transition, we will develop and implement fast 3D super-resolution acquisition strategies and protocols using a combination of compounding strategies with currently available US technology and ultrafast volumetric imaging using dedicated ultrasound matrix array technology. We aim to develop optimised and automated processing algorithms which will enable more precise and efficient image acquisition. Throughout our project, we will demonstrate 3D super resolution imaging and super-resolved velocity mapping using in vitro phantoms and in vivo models, and finally provide 3D super-resolved vasculature images in human studies.Potential Applications and benefitsThe proposed work is essential for clinical translation of super-resolution ultrasound imaging. The new 3D super-resolution imaging method could underlie next generation techniques for ultrasound measurement of the structure and function of the microvasculature. A non-invasive, safe, microscopic assessment of the vasculature could prove crucial to diagnosis, prediction, and intervention in a wide range of diseases.

许多微血管相关疾病，如糖尿病、缺血和癌症，表现出微血管结构和血流的变化。因此，微血管形态和血流动力学变化的测量对于早期诊断和监测至关重要。目前的临床成像模式不能充分解决微血管或血流动力学在临床上有用的深度。拟议的工作将产生三维（3D）超分辨超声血管成像和速度映射在体内临床深度。我们已经成功地证明，单个微泡定位可以产生声学超分辨率和超分辨流速图像在体内从标准的图像数据采集的未经修改的临床超声系统使用简单的后处理定位算法。我们在体内实现了20微米以下血管结构的可视化和速度测量。我们目前的工作是有限的，由潜在的二维采集策略，这意味着没有超分辨率的信息在第三维。我们建议克服这一点，结合美国成像技术的最新进展，以推动超越建立的分辨率限制的超声成像转化为一个临床上有用的imaging modality.Aims和ObjectivesOur的目标是开发3D超声超分辨率成像的微血管在深度高达10厘米的采集时间，是临床上有用的。我们的目标是成为世界上第一个在人类身上证明这一点的团队。为了促进这一转变，我们将开发和实施快速3D超分辨率采集策略和协议，使用组合策略与目前可用的美国技术和超快体积成像使用专用超声矩阵阵列技术。我们的目标是开发优化和自动化的处理算法，使图像采集更加精确和高效。在整个项目中，我们将使用体外模型和体内模型演示3D超分辨率成像和超分辨率速度标测，并最终在人体研究中提供3D超分辨率血管图像。新的3D超分辨率成像方法可能成为下一代微血管结构和功能超声测量技术的基础。血管系统的非侵入性、安全、显微镜评估对于诊断、预测和干预多种疾病至关重要。

项目成果

3D in Vitro Ultrasound Super-Resolution Imaging Using a Clinical System

使用临床系统进行 3D 体外超声超分辨率成像

• DOI: 10.1109/ultsym.2018.8580144
• 发表时间: 2018
• 作者: Christensen-Jeffries K

Development of Simultaneous Optical Imaging and Super-Resolution Ultrasound to Improve Microbubble Localization Accuracy

开发同时光学成像和超分辨率超声以提高微泡定位精度

• DOI: 10.1109/ultsym.2018.8580212
• 发表时间: 2018
• 作者: Brown J

Poisson Statistical Model of Ultrasound Super-Resolution Imaging Acquisition Time.

• DOI: 10.1109/tuffc.2019.2916603
• 发表时间: 2019-07
• 期刊: IEEE transactions on ultrasonics, ferroelectrics, and frequency control
• 作者: Christensen-Jeffries K;Brown J;Harput S;Zhang G;Zhu J;Tang MX;Dunsby C;Eckersley RJ
• 通讯作者: Eckersley RJ

Super-resolution Ultrasound Imaging.

• DOI: 10.1016/j.ultrasmedbio.2019.11.013
• 发表时间: 2020-04
• 期刊: Ultrasound in medicine & biology
• 影响因子: 2.9
• 作者: Christensen-Jeffries K;Couture O;Dayton PA;Eldar YC;Hynynen K;Kiessling F;O'Reilly M;Pinton GF;Schmitz G;Tang MX;Tanter M;van Sloun RJG
• 通讯作者: van Sloun RJG

Coherent Multi-Transducer Ultrasound Imaging with Microbubble Contrast Agents

使用微泡造影剂的相干多换能器超声成像

• DOI: 10.1109/ultsym.2019.8926265
• 发表时间: 2019
• 作者: Christensen-Jeffries K