Optimized Virtual Sources Distributions for 3-D Ultrafast Diverging Wave Compounding Imaging: A Simulation Study

Ultrafast ultrasound imaging allows observing rapid phenomena; combined with 3-D imaging it has the potential to provide more accurate analysis on organs which leads, at the end, to better diagnosis. Coherent compounding using diverging waves is commonly used to reconstruct high quality images on la...

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Vydáno v:	IEEE transactions on ultrasonics, ferroelectrics, and frequency control Ročník 70; číslo 10; s. 1
Hlavní autoři:	Le Moign, Goulven, Masson, Patrice, Basset, Olivier, Liebgott, Herve, Quaegebeur, Nicolas
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Témata:	2-D ultrasound probe 3-D ultrafast ultrasound imaging Compounding Cysts diverging wave compounding Genetic algorithms Image quality Image reconstruction Imaging Isotropy Linear programming Measurement multiobjective genetic algorithm Multiple objective analysis Optimization Physics Point spread functions Probes Reflectors Tradeoffs Ultrasonic imaging virtual sources diverging wave compounding 3-D ultrafast ultrasound imaging multiobjective genetic algorithm 2-D ultrasound probe virtual sources
ISSN:	0885-3010, 1525-8955, 1525-8955
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Popis
Shrnutí:	Ultrafast ultrasound imaging allows observing rapid phenomena; combined with 3-D imaging it has the potential to provide more accurate analysis on organs which leads, at the end, to better diagnosis. Coherent compounding using diverging waves is commonly used to reconstruct high quality images on large volumes while keeping frame rate high enough to allow dynamic analysis. In practice, the virtual sources that drive the diverging waves are often distributed by a deterministic way: following a regular grid, concentric rings and spirals. Even though those deterministic distributions can offer various trade-off in terms of imaging performance, other distributions can be considered to improve imaging performance. It is herein suggested to look at alternative virtual sources distributions for optimizing the lateral resolution and the secondary lobes level on several PSFs by means of a multiobjective genetic algorithm. The optimization framework leads to seven pseudo-irregular distributions of virtual source distributions that have not yet been found in the literature. An analysis on the imaging performance with a simulated phantom shows that these new distributions offer different trade-offs between lateral resolution and contrast, respectively measured on point-like reflectors and anechoic cysts. As an example, one of these optimized distributions improves the lateral resolution by 16% and gives equivalent contrast values on cysts, when compared to a concentric-rings-based distribution.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	0885-3010 1525-8955 1525-8955
DOI:	10.1109/TUFFC.2023.3307336