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Alessandro Ramalli

Researcher at University of Florence

Publications -  146
Citations -  1911

Alessandro Ramalli is an academic researcher from University of Florence. The author has contributed to research in topics: Imaging phantom & Beamforming. The author has an hindex of 19, co-authored 146 publications receiving 1429 citations. Previous affiliations of Alessandro Ramalli include University of Lyon & Katholieke Universiteit Leuven.

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ULA-OP 256: A 256-Channel Open Scanner for Development and Real-Time Implementation of New Ultrasound Methods

TL;DR: The design criteria and hardware/software implementation details of a new 256-channel ultrasound advanced open platform, organized in a modular architecture, capable of finely controlling all transmit (TX) and receive (RX) signals is reported.
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A reconfigurable and programmable FPGA-based system for nonstandard ultrasound methods

TL;DR: The ULtrasound Advanced Open Platform (ULA-OP), recently developed in the University laboratory, is shown to be a flexible tool that can be easily adapted to a wide range of applications.
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Density-tapered spiral arrays for ultrasound 3-D imaging

TL;DR: A method to design the layout of large circular arrays with a limited number of elements according to Fermat's spiral seeds and spatial density modulation is proposed and shown to be suitable for application to 3-D ultrasound imaging.
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Multi-Transmit Beam Forming for Fast Cardiac Imaging—Experimental Validation and In Vivo Application

TL;DR: This study aimed to experimentally verify theoretical predictions both in vitro and in vivo to demonstrate, for the first time, that cardiac MLT imaging is feasible and is thus the first study to demonstrate that this new ultrasound imaging paradigm is viable.
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High Frame-Rate, High Resolution Ultrasound Imaging With Multi-Line Transmission and Filtered-Delay Multiply And Sum Beamforming.

TL;DR: In MLT images, compared to standard Delay And Sum (DAS) beamforming including Tukey apodization, F-DMAS beamforming yields better suppression of cross-talk and improved lateral resolution, and preliminary in vivo cardiac images show that the frame rate can be improved up to 8-fold by combining F- DMAS and MLT without affecting the image quality.