Phd Position F/M : Simulation Of Stent Deployment From Patient-Specific Data Extracted From...

Universities and Institutes of France
November 01, 2022
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Contract Type:Temporary
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  • Organisation/Company: CNRS
  • Research Field: Biological sciences Computer science Mathematics
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 01/11/2022 23:59 - Europe/Brussels
  • Location: France › CLERMONT FERRAND
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 35
  • PhD will take place at Pascal Institute, joint research unit between Clermont Auvergne University and CNRS in the field of engineering sciences. It will be at the interface between two axes of the lab: Image Guided Therapies (IGT) and Mechanics, Materials and Structures (MMS), and will be supervides by Prof. Laurent Sarry (IGT), Prof. Benoit Blaysat (MMS) and Dr. Thomas Jailin (MMS).

    Scientific background This PhD proposal takes place in a larger project aiming at simulating coronary angioplasty procedures, in real time and directly from patient- specific intraoperative images. Stent implantation is a very common, but irreversible revascularization interventional procedure used to restore the artery lumen caliber. A critical challenge is that balloon angioplasty must ensure optimal apposition of the metallic mesh against the vessel wall, so that its progressive neointimal coverage will prevent thrombosis. If this condition can be easily satisfied for a cylindrical homogeneous segment, it is extremely challenging in bifurcations or in presence of lipidic or calcified plaque. Not only under-inflation, but also over-inflation may lead to medical complications, as stress induced by the stent onto the wall might cause restenosis. Methods and objectives Preliminary results of stent simulation in vessels phantoms have been obtained as result of the PhD of C. Krewcun defended on Nov. 2020. The main contribution was the modeling of metallic stents with serially linked beam elements. Unlike previous purely elastic models suited to shape-memory alloys, it embeds an elastoplastic constitutive law with mixed (isotropic and kinematic) hardening, which is relevant for stainless steel. The goal of the present PhD proposal is to enhance simulation conditions with real data. Geometrical and biomechanical properties of vessel wall and plaques will be extracted from intraoperative images (intravascular OCT and angiography) and considered as inputs for the simulation. Expected skills We are looking for candidates with the following skills: - Biomechanics or at least continuum mechanics - Finite element method and real time simulation - C++ and Python programming

    Web site for additional job details

    https: // emploi.cnrs.fr/Offres/Doctorant/UMR6602-LAUSAR-001/Default.aspx

    Required Research Experiences
  • RESEARCH FIELD
  • Biological sciences

  • YEARS OF RESEARCH EXPERIENCE
  • None

  • RESEARCH FIELD
  • Computer science

  • YEARS OF RESEARCH EXPERIENCE
  • None

  • RESEARCH FIELD
  • Mathematics

  • YEARS OF RESEARCH EXPERIENCE
  • None

    Offer Requirements
  • REQUIRED EDUCATION LEVEL
  • Biological sciences: Master Degree or equivalent

    Computer science: Master Degree or equivalent

    Mathematics: Master Degree or equivalent

  • REQUIRED LANGUAGES
  • FRENCH: Basic

    Contact Information
  • Organisation/Company: CNRS
  • Department: Institut Pascal
  • Organisation Type: Public Research Institution
  • Website: https:// www. institutpascal.uca.fr/index.php/fr/
  • Country: France
  • City: CLERMONT FERRAND
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