Construction of torso conductivity map library from CT images and computation of statistical distributions of torso geometries

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Type de contrat : Convention de stage

Niveau de diplôme exigé : Bac + 4 ou équivalent

Autre diplôme apprécié : First or second year Master student or Fourth year Bachelor

Fonction : Stagiaire de la recherche

Niveau d'expérience souhaité : Jeune diplômé

A propos du centre ou de la direction fonctionnelle

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .

The centre has 40 project teams , 32 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

Contexte et atouts du poste

This internship is part of a new collaboration between Idefix Team (Inria Saclay) and Carmen Team (Inria Bordeaux). The intern will be based in the Idefix Team at Saclay, France. There will be some travel between Saclay and Bordeaux.

There will be regular meetings by video-conference with supervisers. Shared code development will be on GitHub.

 

Mission confiée

The intern will work under the supervision of Jing-Rebecca Li and collaborators at Inria Bordeaux.

The intern will download publicly available CT images of human torso from 2 public repositories online and use automatic segmentation software to process the 3D images.  Geometrical information about the segmented organs will be stored and their statistical distributions computed. 

The results will be used to construct a library of realistic conductivity maps of human torso to be used for modeling of the electrical impedance tomography problem.

If time permits, the library may be augmented by artificially generated images that obey the relevant statistical distributions.

Principales activités

Use software from medical imaging such as automatic segmentation;

Compute statistical information about the segmented organs;

Code in Python;

Write up results in Latex; 

Compétences

Profile sought:

Having completed coursework in Image Processing, Statistics, Machine Learning;

Be able to program in Python and use GitHub;

Be able to speak and write fluently in English;

 

Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage

Rémunération

Gratification