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Alessandro Stuart Savoia
Researcher at Roma Tre University
Publications - 110
Citations - 2040
Alessandro Stuart Savoia is an academic researcher from Roma Tre University. The author has contributed to research in topics: Capacitive micromachined ultrasonic transducers & Ultrasonic sensor. The author has an hindex of 21, co-authored 101 publications receiving 1552 citations.
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The Delay Multiply and Sum Beamforming Algorithm in Ultrasound B-Mode Medical Imaging
TL;DR: Results show that the DMAS beamformer outperforms DAS in both simulated and experimental trials and that the main improvement brought about by this new method is a significantly higher contrast resolution, which turns out into an increased dynamic range and better quality of B-mode images.
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A CMUT probe for medical ultrasonography: from microfabrication to system integration
TL;DR: This paper presents the design, development, fabrication, and characterization of a 12-MHz ultrasound probe for medical imaging, based on a CMUT array, and assesses the performance of CMUTs with respect to conventional piezoelectric transducers.
Journal ArticleDOI
Capacitive micromachined ultrasonic transducer (CMUT) arrays for medical imaging
Alessandro Caronti,Giosue Caliano,Riccardo Carotenuto,Riccardo Carotenuto,Alessandro Stuart Savoia,Massimo Pappalardo,Elena Cianci,Vittorio Foglietti +7 more
TL;DR: This paper summarizes the fabrication, design, modeling, and characterization of 1D CMUT linear arrays for medical imaging, established in laboratories during the past 3 years, and indicates these devices as new generation arrays for acoustic imaging.
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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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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.