The objectives were to develop a novel three-dimensional technology for imaging naturally occurring shear wave (SW) propagation, demonstrate feasibility on human volunteers and quantify SW velocity in different propagation directions. Imaging of natural SWs generated by valve closures has emerged to obtain a direct measurement of cardiac stiffness. Recently, natural SW velocity was assessed in two dimensions on parasternal long axis view under the assumption of a propagation direction along the septum. However, in this approach the source localization and the complex three-dimensional propagation wave path was neglected making the speed estimation unreliable. High volume rate transthoracic acquisitions of the human left ventricle (1100 volume/s) was performed with a 4D ultrafast echocardiographic scanner. Four-dimensional tissue velocity cineloops enabled visualization of aortic and mitral valve closure waves. Energy and time of flight mapping allowed propagation path visualization and source localization, respectively. Velocities were quantified along different directions. Aortic and mitral valve closure SW velocities were assessed for the three volunteers with low standard deviation. Anisotropic propagation was also found suggesting the necessity of using a three-dimensional imaging approach. Different velocities were estimated for the three directions for the aortic (3.4$\pm$0.1 m/s, 3.5$\pm$0.3 m/s, 5.4$\pm$0.7 m/s) and the mitral (2.8$\pm$0.5 m/s, 2.9$\pm$0.3 m/s, 4.6$\pm$0.7 m/s) valve SWs. 4D ultrafast ultrasound alleviates the limitations of 2D ultrafast ultrasound for cardiac SW imaging based on natural SW propagations and enables a comprehensive measurement of cardiac stiffness. This technique could provide stiffness mapping of the left ventricle.
Determining the utility of ultrafast nonlinear contrast enhanced and super resolution ultrasound for imaging microcirculation in the human small intestine
Cross Fusion and Correlation Beamformer for Row-Column Array Based 3D Ultrasound Imaging
College of Biomedical Engineering, Fudan University（复旦大学生物医学工程学院）；State Key Laboratory of Integrated Chips and Systems, Fudan University（复旦大学集成芯片与系统全国重点实验室）；Department of Applied Physics, The Hong Kong Polytechnic University（香港理工大学应用物理系）；Poda Medical Technology Co., Ltd.（波达医疗科技有限公司）
Ultrafast 3-D Super Resolution Ultrasound using Row-Column Array specific Coherence-based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, In Vivo and Clinical Study
Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound
Université Côte d'Azur（蔚蓝海岸大学）；Inria（法国国家信息与自动化研究所）；Bordeaux University Hospital (CHU de Bordeaux)（波尔多大学医院）；IHU Liryc, Electrophysiology and Heart Modeling Institute（Liryc大学医院研究所（电生理与心脏建模研究所））
Deep-Learning Based Super-Resolution Functional Ultrasound Imaging of Transient Brain-Wide Neurovascular Activity on a Microscopic Scale
College of Biomedical Engineering, Fudan University（复旦大学 biomedical 工程学院）；Department of Neurosurgery, Huashan Hospital, Institutes for Translational Brain Research, Fudan University（复旦大学华山医院神经外科、转化脑研究院）；School of Psychology, Institute of Chinese Cultural Psychology, Shanghai Jiao Tong University（上海交通大学心理学学院、中国文化心理研究所）
Non contrast Doppler Microvessel Image Reconstruction by a semi Nonrigid Motion Compensation and Localized Clutter Filtering; a Qualitative and Quantitative Evaluation
Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging
Netherlands Cancer Institute（荷兰癌症研究所）；University of Twente（特文特大学）；Centrum Wiskunde & Informatica（数学和计算机科学中心）；Utrecht University（乌得勒支大学）；Radboudumc（拉德堡德大学医学中心）
