[02370] Recent advances in Ultrasound Biomedical Imaging
Session Time & Room : 5B (Aug.25, 10:40-12:20) @D515
Type : Proposal of Minisymposium
Abstract : Medical Ultrasound Imaging is the most widespread real-time non-invasive imaging system, and it is based on the ability of human tissue to reflect the ultrasound signals sent by a probe. The fundamental challenges shared by Ultrasound Imaging applications are arguably to achieve higher image resolution and to get fast real-time acquisitions, in both 2D and 3D settings. Such issues must be addressed from both a theoretical viewpoint, by optimizing the modelling of the signal acquisition and formation process, and from a computational perspective. In this respect, recent advances in computing power and data storage have allowed the development of new algorithms and array designs for cutting-edge ultrasound machines.
This minisymposium aims to gather leading experts in Ultrasound Imaging along with young researchers to present their contributions on theoretical, computational, and industrial topics, with the leading idea of ultimately improving ultrasound signal analysis and image reconstruction beyond the state-of-the-art. The presented research topics range from spatial coherence and PSF approximation, to optimal 2D and 3D array design, and are relevant to a wide variety of mathematical, medical, and industrial applications.
[05140] Applications of Spatial Coherence to Ultrasonic Imaging
Format : Talk at Waseda University
Author(s) :
David Pierson Bradway (Duke University)
Gregg Trahey (Duke University)
Nick Bottenus (University of Colorado Boulder)
Will Long (Duke University)
James Long (Rice University)
Katelyn Flint (Duke University)
Matthew Huber (Duke University)
Abstract : Conventional pulse-echo ultrasound imaging relies primarily on signals’ relative magnitudes and is limited in its ability to mitigate acoustic clutter and other types of image degradation. Advances in computing power have recently enabled an alternative data analysis method utilizing spatial coherence, a measure of the similarity of the signals received across an ultrasound array. The theory of spatial coherence and applications to diagnostic medical ultrasound imaging will be reviewed.
[04772] A local space-invariant approximation for DAS Point Spread Function computation
Format : Talk at Waseda University
Author(s) :
Chiara Razzetta (DIMA - Università di Genova)
Valentina Candiani (University of Genoa)
Federico Benvenuto ( DIMA - Università di Genova)
Marco Crocco (Esaote S.p.A.)
Abstract : The Delay And Sum (DAS) algorithm is the standard technique for ultrasound image reconstruction, it is usually implemented on the hardware of the ultrasound device and it depends on several parameters set in the machine.
This makes it possible to produce real time images but at the same time it is a limitation in studying parameter optimization to obtain better reconstructions.
In this talk, we propose an approximation of the computation of the DAS algorithm by decomposing it into a sum of space-invariant operators by means of a partition of the unity.
This approximation allows parameter optimization algorithms to be applied to the DAS in order to increase the resolution of the reconstruction.
[03464] Design and 3-D medical applications of 2-D ultrasound sparse arrays
Format : Talk at Waseda University
Author(s) :
Alessandro Ramalli (University of Florence)
Abstract : The talk will report on the design methods that are currently used for the development of 2-D sparse arrays. Sample implementations of 2-D sparse arrays based on piezoelectric and capacitive micromachined ultrasonic transducer technologies will be presented. Finally, images and videos of (real-time) 2-D sparse array applications to 3-D flow imaging, super-resolution imaging, and high frame rate imaging will be shown.
[04653] Recent advances in array and sequence design for 3D and high frame rate medical ultrasound imaging
Format : Online Talk on Zoom
Author(s) :
Herve Liebgott (Université Lyon 1)
Abstract : Medical ultrasound imaging has been based for years on the transmission of short pulses inside a thin beam. While the beam sweeps over the whole medium, images are reconstructed by beamforming the raw radio-frequency signals. Following the emergence of compressed sensing, faster acquisition concepts based on coded excitations have been suggested. This talk will present some challenges raised by such approaches e.g. choice of the codes, the array, decoding, and image reconstruction algorithm, …
