Elodie Tiran receives the Best Student Award of the IEEE International Ultrasound Symposium for her research work on “Multiplane wave imaging”
September 22, 2016
The IEEE International Ultrasound Symposium is the major international event in the scientific community of Ultrasound research. The 2016 edition was held this week in Tours, France. Among 1200 abstracts, our student Elodie Tiran received the Best Student Award of the IEEE International Ultrasound Symposium. This work presents a new ultrafast ultrasound sequence that strongly improves the signal-to-noise ratio of ultrafast images, without compromising the frame rate nor the resolution of ultrafast ultrasound acquisitions. The method consists in virtually increasing the transmission signal amplitude using a smart combination of multiple plane waves transmitted at the same time with an Hadamard basis encoding.
For an equivalent frame rate, multiplane wave imaging enhances image quality compared to classical coherent plane wave compounding technique; this also means that for the same image quality multiplane wave imaging enables higher frame rate than classical plane wave compounding. This new ultrafast ultrasound imaging sequence based on multiple plane wave emission is easy to implement and could be used in a large range of clinical and research applications by conferring them great quality and accuracy improvements.
“In the specific field of functional brain imaging, the use of Multiplane wave sequences will be of great interest to study the activity of deep seated brain structures. It could also be used to increase the signal-to-noise ratio in transcranial functional imaging. The simplicity of transmission signals encoding based on simultaneous multiple plane wave transmissions with Hadamard amplitudes makes the decoding process extremely powerful and based on very simple operations” explains Elodie Tiran, the first Author of this research work and PhD student at the Langevin Institute – Wave Physics for Medicine.
For more information, see:
Multiplane wave imaging increases signal-to-noise ratio in ultrafast ultrasound imaging.
Elodie Tiran, Thomas Deffieux, Mafalda Correia, David Maresca, Bruno-Felix Osmanski, Lim-Anna Sieu, Antoine Bergel, Ivan Cohen, Mathieu Pernot and Mickaël Tanter, Physics in Medicine and Biology, 2015 Oct 21, volume 60, number 21.