5 papers
ULMShare: A Large-Scale In Vivo Ultrasound Localization Microscopy Dataset for Microvascular Imaging
Brice Rauby, Nin Ghigo, Gerardo Ramos-Palacios +13
Ultrasound Localization Microscopy (ULM) enables microscopic imaging of the cerebral microvasculature in vivo, but relies on a multi-stage processing pipeline in which acquisition…
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Brice Rauby, Paul Xing, Jonathan Porée +2
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and with a resolution on the order of ten micron…
A unified framework combining coherent compounding, harmonic imaging and angular coherence for simultaneous high-quality B-mode and tissue Doppler in ultrafast echocardiography
Michael Mougharbel, Jonathan Porée, Stephen A. Lee +4
Various methods have been proposed to enhance image quality in ultrafast ultrasound. Coherent compounding can improve image quality using multiple steered diverging transmits when…
Dynamic Imaging using any Ultrasound Localization Microscopy Dataset
Nin Ghigo, Gerardo Ramos-Palacios, Chloé Bourquin +9
Ultrasound Localization Microscopy (ULM) relies on the injection of microbubbles (MBs) to obtain highly resolved density maps of blood circulation in vivo, with a resolution that c…
A Tracking prior to Localization workflow for Ultrasound Localization Microscopy
Alexis Leconte, Jonathan Porée, Brice Rauby +7
Ultrasound Localization Microscopy (ULM) has proven effective in resolving microvascular structures and local mean velocities at sub-diffraction-limited scales, offering high-resol…