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Home page > Research groups > Group 2 : Méthodes fonctionnelles et quantitatives pour l’imagerie ultrasonore > Research themes

Functional, quantitative and molecular methods for ultrasound imaging

Our team conducts multidisciplinary research to develop and validate techniques for ultrasound biomedical imaging that are:

Quantitative : link the value of an acoustically measurable parameter to the properties of biological tissues or contrast markers,

Functional : trace blood flow in the microvascularization via non-invasive monitoring of the nonlinear acoustic response of ultrasound contrast agents (UCAs),

Molecular : detect ultrasound contrast agents that have been modified to adhere to specific molecular targets to reveal biological mechanisms.

 

In past work, techniques developed for high spatial resolution (30 to 50 MHz), quantitative acoustic parameter mapping have been applied to explore the structure of atherosclerotic plaque and the dermal skin layer. The team has modeled and experimentally demonstrated how acoustic destruction of ultrasound contrast agent microbubbles traversing vessels feeding the region of interest in the imaged plane can bias estimates of the microvascular. Other work revealed that wideband acoustic emissions detected after the acoustic excitation of a microbubble are associated with rupture. The publication of the latter was distinguished with the 2006 Outstanding Paper Award by the IEEE Ultrasonics Ferroelectrics and Frequency Control Society.

 

Recent work continues to focus on development and validation of new high-resolution and contrast ultrasound techniques for biomedical imaging with an emphasis on the development of techniques and agents for molecularly targeted imaging and therapy see project descriptions). Testing and transfer of techniques benefit from the team’s integration within the Platform for Functional Exploration at the Cordeliers Research Center and within the Center for Innovation in Biomedical Imaging of the University of Pierre and Marie Curie (UPMC). This research should contribute towards:

-  accelerating pre-clinical studies,

-  developing molecularly targeted imaging and therapy,

-  (via clinical transfer) improving individualized patient care.