[Imageworld] Post-Doctoral Position: Ecole Centrale/INRIA/APHP PitieSalPetriere/Paris (Medical Imaging/Virtual bronchoscope)

[Nikos, Paragios]

Post-doctoral Position
Ecole Centrale de Paris/INRIA-Saclay Ile-de-France/APHP Pitie SalPetriere
http://www.ecp.fr  & http://www.inria.fr/saclay/home/view?set_language=en

The Galen group (http://vision.mas.ecp.fr) [approx 25 members], a joint 
research team between Ecole Centrale de Paris (one of the leading 
engineering schools in France) and INRIA (leading research institute in 
the field of computer science and engineering) is looking for a highly 
motivated candidate to develop an image-based virtual bronchoscope 
towards computer assisted  chest surgery. This is a high;y collaborative 
effort with the department of radiology of  Pitie SalPetriere (Prof. P. 
Grenier)  and the department of respiratory medicine (Prof. T. 
Similowsky, Dr. V. Trosini-Desert).


This effort aims to provide to surgeons of chest medicine a unique 
computer-aided tool towards real-time intra-operative navigation. The 
idea behind such a project is to be able to perform real-time 
multi-modal alignment between preoperative annotated data (CT) and 
interventional data bronchoscope images. Such a process will lead to an 
automatic navigation tool on the 3D bronchial topography model obtained 
through preoperative procedures. Therefore it will allow to the 
physicians better diagnosis as well as better treatment of diseases. 
This is a novel concept of computer-aided guided bronchoscopy through 
biomedical image fusion that has never been investigated before. 
Biomedical image fusion is an on-going research axis in the field of 
medical image analysis with aim to establish correspondences between 
different clinical modalities. The idea is to determine a transformation 
that once applied to one of the signal minimizes or maximizes some 
dissimilarity measure between them. However, such a concept was never 
considered in the context of visual bronchoscopy since existing 
registration methods suffer from numerous limitations: (i) in the most 
general case, comparing heterogeneous signals with certain statistical 
dependencies using low-rank statistical metrics is not sufficient, (ii) 
in many examples because of the physics that are behind the acquisition, 
signals can be very different and therefore finding statistical 
measurements to determine their relation is not possible. The problem 
considered in the proposal is far more challenging than conventional 
registration problems. This is due the following reasons: (i) 
pre-operative data is three dimensional while the bronchoscopic images 
correspond to 2D depth views, therefore we are looking into a 2D-to-3D 
registration problem, (ii) these modalities have nothing in common and 
conventional registration criteria will fail to provide any meaningful 
correspondences, (iii) the process has to be almost real-time as 
navigation take places on the flexible bronchoscope. The approach that 
will be considered in this proposal will benefit for recent advances in 
the field of machine learning as well as the ones in discrete 
optimization. .

The successful candidate is expected to closely collaborate with the two 
leading hospital in Paris, the Pitie Sal-Petriere and the Henri Mondor. 
He is also expected to contribute to numerous on going projects in the 
field of medical image analysis and computer assisted diagnosis.

Prior work in the field of structure of motion, stereo reconstruction, 
motion analysis registration  will be a plus while candidates. 
Successful candidates should hold a PhD degree in the field of medical 
imaging/computer vision or related field, have excellent mathematical 
skills, solid programming abilities and established research record.

- Duration: 12 months (renewable)
- Availability: immediate
- Net salary income: 2,250- 2,500 Euros/month (according to 
qualifications)  + benefits
- Location: The Galen group is located at Ecole Centrale, at the south 
suburbs of Paris and is easily accessible with public transportation 
(~20/25min with the regional train from the heart of Paris).

Applications: please mail your resume to Prof. Nikos Paragios 
(nikos.paragios at inria.fr) including a list of two potentials references.
-- 
Nikos Paragios, Professor      http://vision.mas.ecp.fr
---------------------------------------------------------------------------
Ecole Centrale de Paris        Department of Applied Mathematics
Grande Voie des Vignes         92295 Chatenay-Malabry, France
Phone  +33 (0) 1-4113-1785     Fax    +33 (0) 1-4113-1735
mailto:nikos.paragios at ecp.fr

INRIA Saclay - Île-de-France   Equipe GALEN, Head
Parc Orsay Université          4 rue Jacques Monod,91893 Orsay,France
http://www.inria.fr/saclay/recherche/les-equipes-de-recherche/GALEN_page
mailto:nikos.paragios at inria.fr
---------------------------------------------------------------------------