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Analysis of Contrast-Enhanced Ultrasound using fluid dynamic

Baudouin Denis de Senneville, Anthony Novell, Chloé Arthuis, Vanda Mendes, Paul-Armand Dujardin, Frédéric Patat, Ayache Bouakaz,

Jean-Michel Escoffre, Franck Perrotin

To cite this version:

Baudouin Denis de Senneville, Anthony Novell, Chloé Arthuis, Vanda Mendes, Paul-Armand Dujardin,

et al.. Analysis of Contrast-Enhanced Ultrasound using fluid dynamic. IEEE International Symposium

on Biomedical Imaging (ISBI), Apr 2018, Washington, United States. �hal-01963092�

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54 pt 0.75 in 19.1 mm

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ANALYSIS OF CONTRAST-ENHANCED ULTRASOUND USING FLUID DYNAMIC

B. Denis de Senneville

?

A. Novell

C. Arthuis

∗†

V. Mendes

∗†

P. A. Dujardin

F. Patat

∗‡

A. Bouakaz

J. M. Escoffre

F. Perrotin

∗†

?

Mathematical Institute of Bordeaux, UMR 5251 CNRS/University of Bordeaux/INRIA, France

Inserm UMR 1253, University of Tours, France

Department of Obstetrics, Gynecology and Fetal Medicine, University Hospital of Tours, France

Inserm CIC-IT 1415, CHRU de Tours, France

ABSTRACT

Recent developments in contrast-enhanced ultrasound (CEUS), as- sociated with image processing techniques allow analysing blood perfusion of various organs. A new kinetic analysis is proposed in order to quantify the velocity amplitude of the bolus arrival using a fluid dynamic model. The efficiency of proposed methodology is evaluatedin-vivo, for the classification of placental insufficiency (control versus ligature) of pregnant rats from DCEUS.

1. INTRODUCTION

Contrast-enhanced ultrasound (CEUS) is a non-invasive imaging technique extensively used for blood perfusion imaging of various organs [1]. 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 enhance- ment in the vascular compartment using time-intensity curve (TIC), and at using these latter as indicators for several pathological con- ditions [2]. However, this quantification is mainly hampered by two reasons: first, the quantification intrinsically solely relies on tempo- ral intensity variation, the explicit spatial transport of the contrast agent being left out. Second, the exact relationship between the ac- quired US-signal and the local microbubble concentration is hardly accessible. In this study, we introduce the use of a fluid dynamic model for the analysis of dynamic CEUS (DCEUS) [3], 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.

2. RESULTS

Fig. 1 reports typical microbubble transport fields obtained from two dynamic contrast-enhanced experiments (one clip was selected in the control and one in the ligature population, respectively). The estimated microbubble transports are visually larger for the control population (Fig. 1a-c) as compared to the ligature population (Figs.

1d-f). The spatio-temporally averaged microbubble transport ampli- tude was significantly higher (p-value=1.1×10−3, AUROC=0.93) in the control group (9 rats) than in the ligature group (11 rats) .

This work was supported by grants from Inserm (FP, AB), the Univer- sity F. Rabelais of Tours (FP, AB), the AERO PERINAT Association (FP), the French Society of Perinatal Medicine (FP, CA) and the Laboratory of Ex- cellence TRAIL ANR-10-LABX-57 (BDDS). This study has also been car- ried out with the financial support of the French National Research Agency (ANR) in the frame of the “Investments for the future” Programme IdEx Bordeaux-CPU (ANR-10-IDEX-03-02) (BDDS).

Fig. 1. Example of microbubble transport estimates from the DCEUS of two rats using the proposed approach. The first and the second rows display results associated to a control and a ligature rats, respectively. The 1st, 2ndand 3rdcolumns display DCEUS images acquired 10 s, 15 s and 20 s after microbubble arrival, respectively.

3. CONCLUSION

This study introduces the use of a fluid dynamic model for the analy- sis of DCEUS. The proposed classification criterion, estimated from DCEUS echography, was demonstrated to be a good binary classifi- cation criterion for ligature/non-ligature rat placentas. Our method- ology opens great perspectives for the evaluation of the proposed technique for the clinical diagnostic of obstetrical disorders.

4. REFERENCES

[1] J. A. Jakobsen, “Ultrasound contrast agents: clinical applica- tions,”Eur Radiol, vol. 11, no. 8, pp. 1329–37, 2001.

[2] F. Tranquart et al., “Perfusion quantification in contrast- enhanced ultrasound (CEUS)–ready for research projects and routine clinical use,”Ultrash Med, vol. 33, pp. S31–8, 2012.

[3] B. Denis de Senneville et al., “Development of a fluid dynamic model for quantitative contrast-enhanced ultrasound imaging,”

IEEE Trans on Med Im, 10.1109/TMI.2017.2743099.

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