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30 septembre 2019

PostDoct: Fast radiation exposure simulation in interventional radiology: exploring raytracing and deep learning techniques

Catégorie : Post-doctorant

Scientific context

Monte Carlo simulations (MCS) are using random sampling methods for solving physical and mathematical problems. They play a key role in medical applications, especially in x-ray imaging system. Technically, each particle from the x-ray source has to be raytraced considering different physics effects and geometries through the simulation scene. Due to the nature of the simulation, MCS are associated with long execution times, which is one of the major issues preventing their use in routine clinical practice for dosimetry applications.

We are interesting of using fast MCS in context of x-ray guided interventional radiology. We are leading a national project (ANR OptimiX) that aim of improving the overall radiation safety of patient and clinical staff by (i). developing novel approaches for fast and accurate radiation simulation, (ii). propose methods for optimizing an X-ray imaging device configuration to minimize the delivered dose (iii). developing radiation awareness systems using Augmented/Virtual Reality visualization to facilitate teaching, in an engaging and intuitive manner, on the behavior of ionizing radiation and the best use of protective measures.


Job description and missions

The aim of this project is proposing new methods to an interactive “quasi-real-time” x-ray Monte Carlo simulation in context of interventional radiology. Radiation exposure simulations will be displayed using a head-mounted virtual reality system. Different approaches may be used. A possible way is developing advanced raytracing technique using GPU architecture. Another solution is the use of artificial intelligence especially deep learning methods for generating simulation. It is also possible to combine both raytracing and AI approaches for better results. In any case every explore method will be evaluated and validated using full MCS.



We look for a candidate with a PhD in computer graphics, computer sciences, applied mathematics. Good programming skills is an important requisite. Autonomy, open-mindedness and motivation, as well as good English speaking/writing skills, are also expected.

Some experience in GPU, VR, raytracing, Monte Carlo simulation, or deep learning is appreciated but not required. This position is a good opportunity to learn and master one of these topics.


Position context

The postdoc will join the INSERM UMR1101 Laboratory of Medical Information Processing (LaTIM, Brest, France). This job is in the context of the National Research Agency project OptimiX (Radiation dose optimization for x-ray guided procedures). The future recruited postdoc will work in collaboration with different academic and hospital partners.

The position will be for an initial duration of one year and could be renewable. Salary is about 2000-2200 € net/month, depending on the candidate’s experience.


Contact and additional information

For application, a folder that contains a CV, a motivation letter, a resume of the thesis, a complete list of publications, as well as letters of recommendation, have to be sent to the following e-mails:


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