Motion during image acquisition can cause image degradation in all medical imaging modalities. This is particularly relevant in 2-D ultrasound imaging, since out-of-plane motion can only be compensated for movements smaller than elevational beamwidth of the transducer. Localization based super-resolution imaging creates even a more challenging motion correction task due to the requirement of a high number of acquisitions to form a single super-resolved frame.
In this study, an extension of two-stage motion correction method is proposed for 3-D motion correction. Motion estimation was performed on high volumetric rate ultrasound acquisitions with a handheld probe. The capability of the proposed method was demonstrated with a 3-D microvascular flow simulation to compensate for handheld probe motion. Results showed that two-stage motion correction method reduced the average localization error from 136 to 18 micrometres.
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）
UltraScatter: Ray-Based Simulation of Ultrasound Scattering
1 Chair for Computer Aided Medical Procedures (CAMP), School of Computation, Information；Technology, Technical University of Munich, Munich, Germany；2 Munich Center for Machine Learning (MCML), Munich, Germany；3 Institute of Biological；Medical Imaging, Bioengineering Center, Helmholtz Zentrum München, Neuherberg, Germany；4 Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine；Health \& School of Computation, Information；Technology, Technical University of Munich, Munich, Germany Email
Simultaneous 3D co-registered perfusion and oxygenation with ULM, photoacoustic imaging, and a planar matrix array
Sorbonne Université（索邦大学）；CNRS（法国国家科学研究中心）；Inserm（法国国家健康与医学研究院）；Laboratoire d’Imagerie Biomédicale, LIB（生物医学成像实验室）；Université Paris Cité（巴黎西岱大学）；Centre de Recherche des Cordeliers（科尔德洛耶研究中心）；Institut Cochin（科尚研究所）；Department of Nuclear Medicine, Hôpital Pitié Salpêtrière, APHP（皮蒂埃-萨尔佩特里埃医院核医学科）；PARCC（PARCC研究中心）；Service de Radiologie, AP-HP, Hôpital européen Georges Pompidou（乔治·蓬皮杜欧洲医院放射科）
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）
Automatic Aberration Correction for Transcranial Functional and Super-Resolution Ultrasound Imaging in Rodents and Nonhuman Primates
Polytechnique Montréal（蒙特利尔高等工程学院）；Université de Montréal（蒙特利尔大学）；Centre interdisciplinaire de recherche sur le cerveau et l’apprentissage (CIRCA)（大脑与学习跨学科研究中心）；Montreal Heart Institute（蒙特利尔心脏研究所）
