Analysis and Modelling of the Optimal Command for a Ultrasound Pulse Inversion Imaging System
| Autor: | Ménigot, S., Jean-Marc GIRAULT |
|---|---|
| Přispěvatelé: | Sébastien, Ménigot, Equipe 5 : imagerie et ultrasons, Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Tours (UT), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| Rok vydání: | 2012 |
| Předmět: |
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]
[SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph] [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging 01 natural sciences Modelling 030218 nuclear medicine & medical imaging [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] 03 medical and health sciences optimal command ultrasound imaging 0302 clinical medicine [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging pulse inversion [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing 0103 physical sciences [PHYS.MECA.ACOU] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] 010301 acoustics optimization [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Eusipco 2012 Eusipco 2012, Aug 2012, Bucarest, Romania. pp.1059-1063 Scopus-Elsevier |
| DOI: | 10.5281/zenodo.43034 |
| Popis: | International audience; Over the past twenty years, in ultrasound imaging, contrast and resolution were improved by using the nonlinearties of the medium. One of the most common techniques which used this properties is the pulse inversion imaging. The optimization of this imaging system that we proposed has consisted in finding the optimal command. However, the properties which enable to make an optimal command was not known and that is why we seek the best optimal command by exciting the system by random sequences. In this study, we proposed two steps in our analysis: an analysis and a modelling stage. The proposed model took into account the nonlinearity of the optimal command and enabled to describe the optimal command by using some parameters. If the synthetic model was used in the pulse inversion imaging system, the contrast can reach the same performances. |
| Databáze: | OpenAIRE |
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