Organizers: Hervé Liebgott, Denis Friboulet and Patrick Clarysse
Date: Thursday, Decembre 7th 2017
Sponsors: Université Claude Bernard Lyon 1, Labex Primes (WP2-WP4) and Labex Celya
Location: Amphitéâtre du CNRS http://www.dr7.cnrs.fr/spip.php?rubrique1691
The aim of this day is to present some of the most recent works related to medical ultrasound imaging for cardiac and vascular applications performed in some of the most important groups working in this domain in Europe. 8 different speeches (list of speakers at the bottom of this page) will be given between 8:45 am and 16h30.
|8:45 - 9:15||Welcome|
|9:15 - 9:50||Piero Tortoli : Innovative systems and methods for ultrasound research|
|9:50 - 10:25||
Jorgen Avdal, Ingvid Ekroll and Sébastien Salles : Quantitative ultrasound imaging (at NTNU) - cardiovascular applications.
|10:25 - 10:55||Break|
|10:55 - 11:30||
Adrian Basarab : Sparse signal processing applied to ultrasound imaging.
|11:30 - 12:05||
Jean Philippe Thiran, Marcel Arditi and Dimitris Perdios : Recent developments in medical ultrasound image reconstruction at EPFL and possible extensions for cardiovascular applications.
|12:00 - 13:45||Lunch Break at partipant own charge|
|13:45 - 14:20||
Magnus Cintho : On different phases of longitudinal movement of the carotid artery wall.
|14:20 - 14:55||
Jørgen A. Jensen and Matthias Bo Stuart : Row-column arrays for 3-D volumetric imaging
|14:55 - 15:20||Break|
|15:20 - 15:55||
Olivier Bernard and Maxime Gasse : Machine learning in medical ultrasound imaging.
|15:55 - 16:30||
Hervé Liebgott and Damien Garcia: Recent experimental and technological developments towards cardiovascular ultrasound imaging at CREATIS.
|16:30||End of the day|
For this scientific meeting, the registration is free but required on this following link.
Thanks to our webmaster François Varray.
Piero Tortoli (University of Florence): Innovative systems and methods for ultrasound research.
This presentation will focus on the research approach followed at the MSDLab in Florence: from the original concept to the implementation in ultrasound research platforms. Different examples (from vector Doppler to HFR imaging) will be presented.
This presentation will focus mainly focus on blood flow imaging, but it will also show some of the group’s recent results on mechanical wave mapping.
Adrian Basarab (Université Paul Sabatier, Toulouse): Sparse signal processing applied to ultrasound imaging.
Most medical ultrasound imaging applications can be expressed as an inverse problem. The starting point is to establish a model relating the observations to the image of interest. Often, the resulting inverse problems are ill-posed and require regularization in order to stabilize the solution. In this talk, the interest of sparse regularization will be shown through several applications: beamforming, compressed sensing, deconvolution and cardiac motion estimation.
Jean Philippe Thiran, Marcel Arditi and Dimitris Perdios (Ecole Polytechnique Fedérale de Lausanne - EPFL): Recent developments in medical ultrasound image reconstruction at EPFL and possible extensions for cardiovascular applications.
The approach towards ultrasound image reconstruction developed at EPFL aims at considering ultrasound imaging as an inverse problem. The presentation will focus on the description of their methods and its possible extension for cardiac or vascular applications.
Magnus Cintho (Lund University): On different phases of longitudinal movement of the carotid artery wall.
The longitudinal movement of the arterial wall is still a rather unexplored phenomenon. Recent measurement methods and the latest results from investigation on 135 healthy volunteers of wide range of age will be presented
The talk addresses 3-D vector flow imaging (VFI) in a volume by using arrays that only have 124 elements rather than the thousands currently used for volumetric imaging. It based on our many years of efforts within transverse oscillation VFI.
Olivier Bernard and Maxime Gasse (University of Lyon): Machine learning in medical ultrasound imaging.
This talk will present the recent work from the CREATIS group on the application of deep learning methods for medical ultrasound imaging. The first part will focus on cardiac image segmentation and the second on image reconstruction.
This talk will give an overview of the most recent studies carried out at CREATIS on cardiac and vascular ultrasound imaging. Both the experimental and methodological aspect will be addressed.