Postdoctoral Opportunity: Multimodal MRI registration and analysis
Context and methodology This postdoctoral position will focus on the registration of ex-vivo onto in-vivo MR data. Based on some recent advances extending the combined volume and surface registration, efficient approaches can be provided for dealing with this issue. However, these methods need to be validated and several open theoretical questions are related to this problem and will be investigated during this postdoctoral work. The theoretical results obtained will be tested and used on real human data in a larger framework aiming at tractography validation (French National Research Agency Grant ANR 2014, collaborative study Inserm U930, Université de Tours, Neurospin and Martinos Center).
Applicant profile Candidates should have a strong background in image registration and MR imaging, a good publication record, and strong experience in c++ and matlab coding. Proficiency in English is required, as well as scientific writing skills. Applicants should send a CV, including list of publications and a description of previous research experience, as well as the names and emails of two academic referees to: Clovis Tauber (clovis.tauber@univ-tours.fr mailto:clovis.tauber@univ-tours.fr) and Christophe Destrieux (christophe.destrieux@univtours.fr mailto:christophe.destrieux@univtours.fr )
Conditions Starting date: January 2016 (adjustable) Contract: 2 years Location: Imaging and Brain unit, INSERM U930, Tours. Salary: related to experience
References G.M. Postelnicu, L. Zöllei, B. Fischl: Combined Volumetric and Surface Registration, IEEE Transactions on Medical Imaging 28 (4), April 2009, p. 508--522 Zemmoura I, Serres B, Andersson F, Barrantin L, Tauber C, Filipiak I, Cottier JP, Venturini G and Destrieux C 2014 FIBRASCAN: a novel method for 3D white matter tract reconstruction in MR space from cadaveric dissection Neuroimage 103 106—118 Serres B, Zemmoura I, Andersson F, Tauber C, Destrieux C and Venturini G 2013 Brain Virtual Dissection and White Matter 3D Visualization Stud. Health Technol. Inform. 184 392--396