Vous êtes ici : Kiosque » Annonce

Identification

Identifiant: 
Mot de passe : 

Mot de passe oublié ?
Détails d'identification oubliés ?

Annonce

13 novembre 2023

Post-Doctoral Fellow in the field of Computer Vision and 3D Modeling (W/M) - 24months


Catégorie : Post-doctorant


Job title: Post-Doctoral Fellow in the field of Computer Vision and 3D Modeling (W/M)
Project name: PerForms (ANR PRCE 2023)
Contract: 24-month fixed-term contract
Anticipated start date: March 2024
Location: LaTIM – CHU Morvan – Brest - France
Direction: Image and information processing department (ITI)
Position of immediate superior: Prof. Valérie Burdin
Job contact: Valérie BURDIN – Professor – valerie.burdin@imt-atlantique.fr
Administrative/HR contact: Mélissandre MORVAN – Human ressources Assistante – melissandre.morvan@imt-atlantique.fr
Application deadline: January 4th 2024

 

Post-Doctoral Fellow in the field of Computer Vision and 3D Modeling (W/M) - ANR PerForms 2024-2026 project

 

Job title: Post-Doctoral Fellow in the field of Computer Vision and 3D Modeling (W/M)
Project name: PerForms (ANR PRCE 2023)
Contract: 24-month fixed-term contract
Anticipated start date: March 2024
Location: LaTIM – CHU Morvan – Brest - France
Direction: Image and information processing department (ITI)
Position of immediate superior: Prof. Valérie Burdin
Job contact: Valérie BURDIN – Professor – valerie.burdin@imt-atlantique.fr
Administrative/HR contact: Mélissandre MORVAN – Human ressources Assistante – melissandre.morvan@imt-atlantique.fr
Application deadline: January 4th 2024

1- WORK ENVIRONMENT

This post-doctoral position (20-month fixed-term contract) is offered by IMT Atlantique, an elite technological university in France, renowned for its academic excellence and cutting-edge research in the field of information science, energy technologies, environment and health, which is ranked in the top 10 in France.
The work will be carried out within the LaTIM Laboratory (https://latim.univ-brest.fr), which is developing multidisciplinary research in medical information processing led by members of IMT Atlantique, INSERM, the University Bretagne Occidentale and the Hospital of Brest. LaTIM's translational research is supported by a wide range of industrial partnerships and a large number of partnership projects (regional, national, European). The laboratory is involved in 2 LabEx, 1 Infrastructure Nationale (France Life Imaging), 1 IRT (shared industrial research institute), has a LabCom and is the holder of an inter-regional Hospital-University Federation. The ANR PerForms project will be carried out within one of LaTIM's 4 teams, IMAGINE, which is developing its activities in the field of interventional therapies.

2- GLOBAL PROJECT SUMMARY

Fracture of the distal radius is the most frequent fracture. Especially, it is a public health issue related to women over 50- year-old with osteoporosis. In such fractures, the decision- making process remains challenging and controversial. Nevertheless, the final functional result is highly correlated to the restitution of certain morphometric parameters. Till then, most of the authors focused on the design of a single dedicated implant for fracture. However, as it has been proved in other joints and mainly in arthritis management, there is a major interest in preoperative planning first to confirm the surgical indication, then to determine the surgeon's objectives. Thus, we propose an original approach by providing an automatic planning software. This planning must be based on a reliable model while most of the clinical studies often skip this essential step. The main objective of the PERForms project is to develop a forearm 3D model that will be automatically generated by a planning software and that will provide a basis to calculate morphometric information. This model will be static and dynamical and generated in a reliable, precise, reproducible, and automated way. Thus, the surgeons will be helped in their diagnosis and their decision-making process. To achieve this objective, a specific Statistical Shape Model (SSM) method that has already proven its usefulness for other joints in terms of automatic segmentation, anatomy and functional prediction, and dynamic repositioning, will be used. The project will follow the stages listed below: 1) Data collection and labelisation 2) SSM building and validation 3) Generation of the premorbid forearm bones and realignment in an anatomical position 4) Automatic segmentation, landmarking process and validation 5) Model optimization and preclinical validation.
Keywords: Statistical shape model, forearm, preoperating planning.


3- POSTDOCTORAL MISSIONS

As part of the global project, under the supervision of Prof. Valérie Burdin (IMT Atlantique/LaTIM), in collaboration with Guillaume Dardenne (INSERM Researcher), the person recruited will have to:

  1. Establish a state-of-the-art and identify the relevant solution.
  2. Develop a robust approach for building a combined SSM including the forearm bones from healthy patients.
  3. Design a kinematic model of the forearm to adjust and correct the forearm in the good anatomic supination position.
  4. Publish and disseminate research results in recognized journals and conferences, and draft ANR project deliverables.
  5. Participate in and lead working meetings with other partners.

4- POSTDOCTORAL ACTIVITIES

1. Establish a state-of-the-art overview and identify a relevant solution.

2. Develop a robust approach for building a multi-tissues digital twin of the patient's knee: 3D statistical model.


3. Publish and disseminate research results in recognized journals and conferences, and draft ANR project deliverables.

4. Participate in and lead working meetings with other partners.

5- TRAINING and SKILLS:

Minimum education and/or experience required:

Essential skills, knowledge and experience:

Abilities and skills:


6- ADDITIONAL INFORMATION


7- APPLICATION DOCUMENTS


Send a zip file to guillaume.dardenne@univ-brest.fr and valerie.burdin@imt-atlantique.fr
Before January 4th.

Dans cette rubrique

(c) GdR IASIS - CNRS - 2024.