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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Bibliographic Details
Published in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control Vol. 70; no. 10; p. 1
Main Authors: Le Moign, Goulven, Masson, Patrice, Basset, Olivier, Liebgott, Herve, Quaegebeur, Nicolas
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:0885-3010
1525-8955
1525-8955
DOI:10.1109/TUFFC.2023.3307336