Caenen, Annette

Degroote, Joris

Pernot, Mathieu

Segers, Patrick

Shcherbakova, Darya

Swillens, Abigail

Verhegghe, Benedict

Vierendeels, Jan

English

Ghent University Academic Bibliography

Abstract book 2015 ICU, Metz 117Tue 16:30 Saint Pierre Cardiovascular ultrasound image and signal analysis: a powerful tool toward valid,non-invasive and low-cost disease diagnosis4D Ultrafast ultrasound imaging of the heart: towards non invasive quantication of myocardial sti-ness { (Invited, 000565)M. Pernot, J. Provost, C. Papadacci, M. Correia, O. Villemain, J.-L. Gennisson, M. Fink and M. TanterInstitut Langevin ESPCI ParisTech, CNRS UMR7587, INSERM U979, 1 rue Jussieu, 75005 Paris, FranceCorresponding author E-mail: mathieu.pernot@gmail.comCardiac pathologies are often characterized by a signicantchange of myocardial stiness, re-organization of muscleber structure, and the accompanying dysfunction, all ofwhich remain challenging to be quantitatively assessed invivo. Ultrafast imaging is a novel ultrasonic imaging ap-proach developed at Institut Langevin that provides im-ages of the heart at thousands of images/s. Based on ultra-fast imaging, Shear Wave Imaging (SWI) was developedto provides real-time mapping of myocardial viscoelasticproperties. The technique relies on two successive steps:rst, a shear wave is remotely induced in the myocardiumusing the acoustic radiation force of a focused beam, andsecond, the shear wave propagation is imaged using ul-trafast imaging (10,000 images per seconds). The shearmodulus is derived from the shear wave speed. SWI is ap-plied to the evaluation of myocardial stiness on animalmodels of cardiomyopathy. The dynamics of change inshear modulus during the cardiac cycle is measured andthe relationship between the viscoelastic properties andphysiological parameters such as contractility in normaland infarcted myocardium is investigated. In addition,the myocardial ber orientation can be mapped by ex-ploiting the anisotropy of shear wave propagation. Fi-nally, a novel 4D ultrafast imaging platform is developedto provide thousands of volumes per second of the heart.Ultrafast imaging as well as SWI are performed in vivo in4D using a single acquisition performed during one cardiaccycle.Tue 17:00 Saint Pierre Cardiovascular ultrasound image and signal analysis: a powerful tool toward valid,non-invasive and low-cost disease diagnosisThe role of multiphysics modeling in establishing a robust ultrasound-based cardiovascular risk assess-ment { (Invited, 000575)A. Swillensa, A. Caenena, D. Shcherbakovaa, M. Pernotb, B. Verhegghea, J. Degrootec, J. Vierendeelsc and P. SegersaaGhent University - IBiTech, De Pintelaan 185, 185, 9000 Gent, Belgium; bInstitut Langevin, 1 rue Jussieu, 75005 Paris, France;cGhent University - Floheacom, Sint-Pietersnieuwstraat 41, 9000 Gent, BelgiumCorresponding author E-mail: abigail.swillens@ugent.beArterial stiness has proven to be a powerful, early markerof cardiovascular diseases, with prognostic value beyondthe classical risk factors like smoking, high blood pressure,cholesterol,... However, local evaluation of arterial sti-ness remains technically challenging despite a wide rangeof non-invasive, ultrasound-based techniques developed forthis purpose. Hence, we have been investigating the per-formance of ultrasonic measurement strategies for arterialstiness, both from a biomechanical and image acquisitionperspective. In particular, we have been studying directtissue characterization techniques as well as strategies tolocally assess the arterial pulse wave velocity (PWV), i.e.the propagation speed of the arterial pulse created by thecardiac contraction as it travels through the cardiovascu-lar network. The former class of techniques refers to ourinvestigation of shear wave elastography, assessing tissuestiness by tracking shear waves articially evoked in thetissue via the acoustic energy of an ultrasound probe. Lo-cal PWV can be non-invasively assessed in multiple ways,e.g. as the slope of the arterial diameter (ln(D)) versusblood velocity (U) signal in early systole via ultrasonicwall tracking (D) and Doppler (U) techniques.However, previously mentioned measurement strategiesare hampered in the presence of intricate vascular anatomyor tissue mechanics, inducing complex pulse/shear wavephenomena, erroneously aecting stiness assessment.Hence, we developed a computer modeling platform for in-depth investigation and validation of these measurementstrategies, allowing comparison of the simulated measure-ment outcome with the true tissue properties, fully denedin the simulation but typically lacking during in-vitro/in-vivo evaluation. Hence, this is a multi-physics model, in-tegrating both the biomechanics and imaging, which hasallowed us to analyze arterial stiness assessment tech-niques in varying biomechanical conditions as well as toinvestigate new imaging approaches and signal processing.Tue 17:30 Saint Pierre Cardiovascular ultrasound image and signal analysis: a powerful tool toward valid,non-invasive and low-cost disease diagnosisAutomatic emboli detection system for the articial heart { (Contributed, 000362)T. Steifera, M. Lewandowskia, P. Karwata and M. GawlikowskibaIPPT PAN, Pawinskiego 5B, 02-106 Warsaw, Poland; bFundacja Rozwoju Kardiochirurgii im. prof. Zbigniewa Religi w Zabrzu,

The role of multiphysics modeling in establishing a robust ultrasound-based cardiovascular risk assessment

https://biblio.ugent.be/publication/6938853/file/6938892.pdf

The role of multiphysics modeling in establishing a robust ultrasound-based cardiovascular risk assessment

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Ghent University Academic Bibliography