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Development of a Fluid Dynamic Model for Quantitative Contrast-Enhanced Ultrasound Imaging
Author(s) -
Baudouin Denis de Senneville,
Anthony Novell,
Chloe Arthuis,
Vanda Mendes,
Paul-Armand Dujardin,
Frederic Patat,
Ayache Bouakaz,
Jean-Michel Escoffre,
Franck Perrotin
Publication year - 2018
Publication title -
ieee transactions on medical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.322
H-Index - 224
eISSN - 1558-254X
pISSN - 0278-0062
DOI - 10.1109/tmi.2017.2743099
Subject(s) - bioengineering , computing and processing
Contrast-enhanced ultrasound (CEUS) is a non-invasive 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. This paper 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 versus ligature) of pregnant rats from DCEUS. Besides, for the in-vivo experimental setup, we demonstrated that the proposed approach outperforms the performance of existing TIC-based methods.

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