[robotics-worldwide] Post-doctoral position in medical robotics / computer vision, Strasbourg, France

Florent Nageotte nageotte at unistra.fr
Tue Oct 30 03:35:49 PDT 2012

*The University of Strasbourg (France) offers a 24 months post-doctoral 
position in the field*
*of medical robotics / computer vision, on the following project :

*"*Event detection in non-vascular interventional radiology*"

The project aims at developing guiding and monitoring tools for medical 
procedures in interventional radiology, by combining computer vision and 
haptic feedback.

/Keywords/: real-time registration, computer vision, fluoroscopy, haptics

The proposed project consists in developing visual/haptic supervision in 
non-vascular interventional radiology. The work will be applied to 
cement injection in vertebroplasty procedures. Vertebroplasty is a 
minimally invasive interventional technique, which improves the 
treatment of patients enduring vertebrae fractures due to osteoporosis 
or bones tumours. It consists in injecting orthopaedic cement through a 
needle inserted in the vertebra cavity. The injection is monitored in 
real-time using an X-ray fluoroscope in order to continuously control 
cement diffusion. A solution for limiting the radiologist exposure to 
X-rays consists in developing robotized tools to inject the cement at a 
distance.We have already developed a master-slave system, which provides 
haptic feedback to the user for assisting such gestures. An ambitious 
project now consists in augmenting the radiologist perception rather 
than just providing injection efforts feedback. This post-doctoral 
project hence focuses on developing monitoring and guidance tools for 
improving cement injection, especially for allowing real-time detection 
of cement leakage outside the vertebra cavity, which can lead to embolism.

We propose to automatically detect cement leakage by coupling analysis 
of fluoroscopic images and monitoring of injection pressure. The 
objective is to make the detection as fast as possible but also to limit 
the risk of non detection which could result from a bad positioning of 
the imaging device. Data fusion between image detection and pressure 
measurement can be obtained in different manners. Image detection could 
be correlated with pressure variation measurements to confirm 
abnormality detection. Conversely the point of view could be modified 
when pressure changes are detected but not coupled with visible leakage 
in the images. Detection will be coupled to a haptic strategy, which 
will allow to stop or to adapt cement injection to make the gesture safer.

*Working environment. Candidate profile and funding*
The candidate will work at the medical robotic platform of the LSIIT 
laboratory located at the IRCAD in the centre of Strasbourg. He/she will 
have access to Siemens interventional CT-scanner and Siemens Zeego 
robotized fluoroscopy system, both available at the Mix-Surg IHU (Joint 
Institute of Hospital and University). The candidate shall have a 
succeeding research experience in computer vision, preferably in the 
medical context. Knowledge and experience in automatic control, robotics 
or signal processing will be beneficial. Inclination for experimental 
work and strong background in C/C++ programming are mandatory.

The project is supported by the IDEX (Excellence Initiative of the 
University of Strasbourg) and a funding is provided for 24 months. 
Monthly gross salary is about 2500 Euros.

The position is immediately available. More information can be obtained at :

For applying, please send a CV and a cover letter to one of the 
following email adresses :

//Bernard Bayle, Professor : bernard.bayle at unistra.fr
Florent Nageotte, Associate Professor : nageotte at unistra.fr

Florent Nageotte
Maître de Conférences
Université de Strasbourg
UFR Physique et Ingénierie

tél : 03 88 11 91 29
email : Nageotte at unistra.fr

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