About
In this webinar, Dr. Mickael Tanter presents his work on functional ultrasound neuroimaging, including an overview and translation to clinical applications.

Functional ultrasound (fUS) was first introduced by Dr. Mickael Tanter in a landmark paper in 2011. Since this first publication, and as a result of technical advancements and scientific ingenuity, fUS methods have progressed rapidly and have now been used in a wide range of applications, including neuroimaging. In this webinar, Dr. Tanter presents an overview of his research on fUS, including its key features and applications, using examples from a number of neuroscience studies. He also discusses functional ultrasound localization microscopy (fULM), and how preclinical applications of fUS can be translated to the clinic.

Key Topics:

  • Overview of the key differentiating features of functional ultrasound in the field of neuroimaging, illustrated by neuroscience studies

  • How to translate from preclinical fUS imaging to clinical applications

  • Functional ultrasound localization microscopy (fULM): the how and why of functional ultrasound at a microscopic scale

Presenter
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Mickael Tanter, PhD
Professor/Research Director, Inserm/Physics for Medicine Paris
Mickael Tanter, PhD is a Research Professor at Inserm, an elected member of the European Academy of Sciences, a distinguished Professor at ESPCI Paris, and AXA Chair Professor. He currently heads the ‘Physics for Medicine Paris’ laboratory, and is also Director of the Inserm ‘Biomedical Ultrasound’ Technology Research Accelerator. Mickael is an expert in biomedical ultrasound and wave physics, has authored over 300 peer-reviewed papers and book chapters, and is cited on 50 international patents. He has co-invented several major innovations in biomedical ultrasound, and has pioneered the application of functional ultrasound (fUS) to the imaging of brain activity. He has received many national and international awards and distinctions, and is the co-founder of the medtech companies Supersonic Imagine, CardiaWave and Iconeus.
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