Development of a fluid dynamic model for quantitative contrast-enhanced ultrasound imaging

Abstract : Contrast-enhanced ultrasound (CEUS) is a noninvasive imaging technique extensively used for blood perfusion imaging of various organs. This modality is based on the acoustic detection of gas-filled microbubble contrast agents used as intravascular flow tracers. Recent efforts aim at quantifying parameters related to the enhancement in the vascular compartment using time-intensity curve (TIC), and at using these latter as indicators for several pathological conditions. However, this quantification is mainly hampered by two reasons: first, the quantification intrinsically solely relies on temporal intensity variation, the explicit spatial transport of the contrast agent being left out. Second, the exact relationship between the acquired US-signal and the local microbubble concentration is hardly accessible. The current study introduces the use of a fluid dynamic model for the analysis of dynamic CEUS (DCEUS), in order to circumvent the two above mentioned limitations. A new kinetic analysis is proposed in order to quantify the velocity amplitude of the bolus arrival. The efficiency of proposed methodology is evaluated both in-vitro, for the quantitative estimation of microbubble flow rates, and in-vivo, for the classification of placental insufficiency (control vs. ligature) of pregnant rats from DCEUS. Besides, for the in-vivo experimental setup, we demonstrated that the proposed approach outperforms the performance of existing TICbased methods.
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Article dans une revue
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2017, 〈10.1109/TMI.2017.2743099〉
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https://hal.archives-ouvertes.fr/hal-01578323
Contributeur : Baudouin Denis de Senneville <>
Soumis le : mardi 29 août 2017 - 08:34:52
Dernière modification le : vendredi 3 novembre 2017 - 15:38:03

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Baudouin Denis de Senneville, Anthony Novell, Chloé Arthuis, Vanda Mendes, Paul-Armand Dujardin, et al.. Development of a fluid dynamic model for quantitative contrast-enhanced ultrasound imaging. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2017, 〈10.1109/TMI.2017.2743099〉. 〈hal-01578323〉

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