Multiplane wave imaging increases signal-to-noise ratio in ultrafast ultrasound imaging.
Ultrafast imaging using plane or diverging waves has recently enabled new ultrasound imaging modes with improved sensitivity and very high frame rates. Some of these new imaging modalities include shear wave elastography, ultrafast Doppler, ultrafast contrast-enhanced imaging and functional ultrasound imaging. Even though ultrafast imaging already encounters clinical success, increasing even more its penetration depth and signal-to-noise ratio for dedicated applications would be valuable. Ultrafast imaging relies on the coherent compounding of backscattered echoes resulting from successive tilted plane waves emissions; this produces high-resolution ultrasound images with a trade-off between final frame rate, contrast and resolution. In this work, we introduce multiplane wave imaging, a new method that strongly improves ultrafast images signal-to-noise ratio by virtually increasing the emission signal amplitude without compromising the frame rate. This method relies on the successive transmissions of multiple plane waves with differently coded amplitudes and emission angles in a single transmit event. Data from each single plane wave of increased amplitude can then be obtained, by recombining the received data of successive events with the proper coefficients. The benefits of multiplane wave for B-mode, shear wave elastography and ultrafast Doppler imaging are experimentally demonstrated. Multiplane wave with 4 plane waves emissions yields a 5.8  ±  0.5 dB increase in signal-to-noise ratio and approximately 10 mm in penetration in a calibrated ultrasound phantom (0.7 d MHz(-1) cm(-1)). In shear wave elastography, the same multiplane wave configuration yields a 2.07  ±  0.05 fold reduction of the particle velocity standard deviation and a two-fold reduction of the shear wave velocity maps standard deviation. In functional ultrasound imaging, the mapping of cerebral blood volume results in a 3 to 6 dB increase of the contrast-to-noise ratio in deep structures of the rodent brain.
ESPCI-ParisTech, PSL University, INSERM U979, CNRS UMR7587, Institut Langevin, 1 rue Jussieu, F-75005, Paris, France.
Elodie
E
Tiran
Thomas
T
Deffieux
Mafalda
M
Correia
David
D
Maresca
Bruno-Felix
BF
Osmanski
Lim-Anna
LA
Sieu
Antoine
A
Bergel
Ivan
I
Cohen
Mathieu
M
Pernot
Mickael
M
Tanter
D054459:Elasticity Imaging Techniques / Q000379:methods*; D019220:High-Energy Shock Waves; D059629:Signal-To-Noise Ratio; D018608:Ultrasonography, Doppler / Q000379:methods*