Seyed Ali ELAHI PhD defense on 10/04/2018 at 10am

PhD Defense of Seyed Ali ELAHI from BioMMat team on october the 4th at 10 am :
 
" In-vivo and In-situ mechanical characterization of soft living tissues "
 
 
Place : Amphi Supérieur Nord, bâtiment Jean Roget, Faculté de Médecine & Pharmacie, La Tronche
 
Jury et thesis supervision :
  • M. Yohan PAYAN, Directeur de Recherche CNRS, Université Grenoble Alpes, Director
  • M. Nathanaël CONNESSON, Maître de Conférences, Université Grenoble Alpes, Codirector
     
  • M. Edoardo MAZZA, Professeur, ETH Zürich, Reporter
  • M. Poul Michael Fonss NIELSEN, Professeur, University of Auckland, Reporter
  • M. Alain-Ali MOJALLAL, Professeur, Université de Lyon, Examiner
  • M. Jacques OHAYON, Professeur, Université Savoie Mont Blanc, Examiner
     

Abstract:

Measuring human organs' mechanical properties feeds medical practices. This thesis develops new means to measure in-situ and in-vivo mechanical properties of soft living tissues. Among other methods, aspiration is a standard due to its simplicity: soft tissue is aspirated through a hole while measuring simultaneously the pressure and tissue apex height, usually using a camera and mirror. Such a choice yet induces sterilization and design difficulties for in-vivo applications. In this thesis, measuring directly the aspirated volume enabled to remove any camera and mirror from the measuring probe. This method was firstly validated on known silicone materials. This modification also enabled to change the aspiration aperture diameter at will. This property was used to develop a method to identify the superficial layer thickness and mechanical properties in soft multilayered tissues. Eventually, a model reduction was used to drastically decrease the computation time involved during the inverse identifications of mechanical properties. This is an additional key step toward application during clinical routine.

 

Keywords:

Suction/Aspiration Method; Soft Tissues Characterization; Experimental Mechanics; Biomechanics; Inverse Characterization