Mathieu Pernot - Nanotechnology

Author Information

Mathieu Pernot is affiliated with the Physics for Medicine Department, Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique, Ecole Supérieure de Physique et Chimie Industrielles de Paris, Université Paris Sciences et Lettres Research University, Paris, France. His research focuses on advanced ultrasound technologies and their applications in medical diagnostics and treatment.

Research Contributions

Mathieu Pernot has made significant contributions to the field of medical ultrasound technology. His recent work includes the development and application of smart ultrasound devices for non-invasive real-time myocardial stiffness quantification, advancements in 3D ultrasound localization microscopy, and the assessment of coronary flow using ultrafast ultrasound techniques. His research has a strong focus on improving the diagnostic capabilities of ultrasound imaging, particularly in the areas of cardiovascular health and brain vasculature imaging.

Aliases

M. Pernot, M. I. Pernot, M. Pernot, Mathieu Pernot

Publication and Citation Metrics

Citation Count	9143
H-Index	52
Paper Count	356

Publications:

Smart Ultrasound Device for Non-Invasive Real-Time Myocardial Stiffness Quantification of the Human Heart

DOI: 10.1109/TBME.2021.3087039

Year: 2022

Boosting transducer matrix sensitivity for 3D large field ultrasound localization microscopy using a multi-lens diffracting layer: a simulation study

DOI: 10.1088/1361-6560/ac5f72

Year: 2022

Volumetric ultrasound localization microscopy of the whole brain microvasculature

DOI: 10.21203/rs.3.rs-1198910/v1

Year: 2022

In vivo whole brain microvascular imaging in mice using transcranial 3D Ultrasound Localization Microscopy.

DOI: 10.1016/j.ebiom.2022.103995

Year: 2022

Coronary Flow Assessment Using 3-Dimensional Ultrafast Ultrasound Localization Microscopy

DOI: 10.1016/j.jcmg.2022.02.008

Year: 2022

Feasibility and Performance of Noninvasive Ultrasound Therapy in Patients With Severe Symptomatic Aortic Valve Stenosis: A First-in-Human Study.

DOI: 10.1161/CIRCULATIONAHA.120.050672

Year: 2021

Assessing cardiac stiffness using ultrasound shear wave elastography

DOI: 10.1088/1361-6560/ac404d

Year: 2021

A 3D high resolution MRI method for the visualization of cardiac fibro-fatty infiltrations

DOI: 10.1038/s41598-021-85774-6

Year: 2021

Transcranial ultrafast ultrasound localization microscopy of brain vasculature in patients

DOI: 10.1038/s41551-021-00697-x

Year: 2021

XDoppler: Cross-Correlation of Orthogonal Apertures for 3D Blood Flow Imaging

DOI: 10.1109/TMI.2021.3084865

Year: 2021

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