Postdoc M/F – Reconstruction of Dental CT Scans Using Machine Learning

Job Description

Missions

This position is part of the collaborative "Cone-Beam AI" project between Acteon, a company specializing in the design of X-ray-based medical devices for the dental sector, the research center for image acquisition and processing in healthcare (CREATIS), and the Institute of Mathematics of Bordeaux (IMB). The main objective of this research project is to improve the quality of cone-beam computed tomography (CBCT) scans used in dental imaging for diagnostic purposes, while reducing the radiation dose received by patients. To achieve this, the postdoctoral researcher will be tasked with developing new, higher-performance tomographic reconstruction algorithms, in particular using machine learning methods suited to solving inverse problems.

Activity

In collaboration with the other project members, the postdoctoral researcher's activities will focus on the following topics:
- CBCT reconstruction from truncated data: the goal is to achieve quantitative reconstruction within the scanner's field of view, and the best possible reconstruction outside of it.
- Motion correction: involuntary movements of the patient or the scanner during acquisition introduce artifacts that can be corrected using motion estimation. The objective here will be to estimate this motion without relying on a prior reconstruction, using mathematical equations known as data consistency conditions.
- Scatter radiation: CBCT reconstruction assumes that scattered radiation is not measured, which is not the case in practice and significantly degrades CBCT images. The objective will be to correct X-ray projections by estimating this scattered radiation through a deep learning-based approach.
- Metal artifacts: metals within the field of view cause significant image quality degradation that can compromise diagnosis; these could also be corrected in the projections using deep learning.

Your Profil

Skills

Academic background: PhD in applied mathematics, computer science, or medical physics,
Scientific interests: applied mathematics, computer science (medical image processing), medical physics,
Programming skills: Python, C++ (ITK, RTK),
Languages: English required, French optional.

Your Work Environment

Supervisor: Simon Rit
Location: primarily at the Léon Bérard Cancer Centre, Lyon, France.
Duration: 14 months, starting as soon as possible.

CREATIS is a multidisciplinary laboratory with a broad range of expertise in medical imaging, playing a major role in the field of health technologies. The successful candidate will join the tomoradio team, in particular the group based at the Léon Bérard Cancer Centre.

Compensation and benefits

Compensation

From €3,071 gross per month, depending on experience

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

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