Complexity Reduction of Ultrasound Sub-Ultra-Harmonic Modeling by an Input Modified Volterra Approach
| Autor: | Fatima Sbeity, Nesrine Houhat, Sébastien Ménigot, Jamal Charara, Emma Kanbar, Jean-Marc Girault |
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| Přispěvatelé: | Université Libanaise, Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Research Center in Industrial Technologies (CRTI), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), Sébastien, Ménigot, Research Center in Industrial Technologies (CRIT) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
SMISO Volterra [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging Second-harmonic imaging microscopy microbubble 02 engineering and technology Volterra equations 01 natural sciences Harmonic analysis sub-ultra-harmonics 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Demodulation 010301 acoustics [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph] business.industry 020208 electrical & electronic engineering Ultrasound modeling demodulation Nonlinear system [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging Kernel (image processing) Modulation Harmonics Harmonic Microbubbles business Algorithm [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | IEEE International Ultrasonic Symposium 2017 IEEE International Ultrasonic Symposium 2017, Sep 2017, Washington, DC, United States 2017 Ultrasonics Special Issue of the IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control IEEE International Ultrasonic Symposium 2017, Sep 2017, Washington, United States. ⟨10.1109/ULTSYM.2017.8092894⟩ IEEE International Ultrasonic Symposium 2017, Sep 2017, Washington, United States. ⟨10.1109/ULTSYM.2017.8092060⟩ |
| DOI: | 10.1109/ULTSYM.2017.8092894⟩ |
| Popis: | International audience; Contrast of echographic images has been highly improved by the injection of microbubbles, due to their nonlinear behavior. However, this contrast enhancement is limited by the nonlinear acoustic propagation in tissue. To overcome this drawback, sub and ultra-harmonic contrast imaging can be used, since only microbubbles can generate these components. Nonlinear modeling is a primordial step in the analysis of microbubble signals for sub and ultra-harmonic imaging. Nonlinear models like Volterra model has been applied in harmonic imaging to model harmonics optimally. However, it can model harmonics only. For sub and ultra-harmonic modeling, a multiple input single output (MISO) Volterra has been proposed. The aim of this study is to propose a simpler alternative for the modeling of sub and ultra-harmonics. We propose a modified single input single output (SMISO) Volterra model based on input demodulation. The model is tested using simulated and experimental signals. Results showed that sub and ultra-harmonics are modeled. The number of kernels is reduced to its half using SMISO model compared to MISO model. The relative mean square error between the simulated signal and the modeled signal with SMISO Volterra model is −15.8 dB and it is −60.7 dB for experimental signals. The computational time is reduced by a factor of 4 and 5 in simulated and experimental cases respectively. SMISO model can make easier the sub and ultra-harmonics modeling. |
| Databáze: | OpenAIRE |
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