[BIC-announce] FW: pls forward this talk announcement - Models in Computer Assisted NeuroSurgery

[Jennifer Chew, Ms.]

Seminar

Date:  Tuesday, July 10, 2007
Time:  4:00 P.M.
Place: de Grandpre Communications Centre

Speaker:  Pierre Jannin, INSERM, INRIA

Title:  Models in Computer Assisted NeuroSurgery 

More details below.



Jennifer Chew
McConnell Brain Imaging Centre
MNI - WB317
3801 University Street
Montreal, Qc  H3A 2B4
Telephone:  514-398-8554
Fax:  514-398-2975

DETAILS 
Hi all,

Pierre Jannin (Rennes, Fr) is a NEUROMIME collaborator working on image guided surgery.  He will be visiting ...and will give a talk on Tuesday (July 10) at 4pm.  Please come and see this interesting speaker.

-Louis



Models in Computer Assisted NeuroSurgery

	Pierre Jannin, PhD, INSERM
	Visages
	INSERM-INRIA
	Medical School
	Université de Rennes 1, France

Keywords : multimodal image guided neurosurgery, surgical models, surgical ontology

Abstract:

The objective of this presentation is to demonstrate the needs for models in image guided surgery. We suggest the improvement of information, involved in the surgical process, by translating implicit knowledge into explicit one. Making information explicit goes through the construction of models. In the last 15 years, a lot has been done for building numerical patient specific model from multimodal pre operative images. Image segmentation and registration methods allow defining surgical target(s), some reference areas, areas to be avoided, and trajectories from these images. This model can be displayed in the operating room along with the real patient, thanks to augmented reality and updated by using intra operative images (e.g., 3D US, video images). I will present approaches and systems we developed for multimodal image guided neurosurgery. Image guided surgery made information about the patient more explicit, but lot of information still remains implicit, especially regarding the surgical practice. The high inter patient and inter surgeon variability in neurosurgery has to be studied and modelled for its explicit understanding. I will demonstrate that surgical models are an appropriate solution. I will suggest a global methodology for surgical models including the definition of a surgical ontology, the development of software for surgical experience description based on this ontology, and the analysis of these descriptions for knowledge generation about the surgical practice. This approach will be illustrated in the context of analyzing the relationships between the tumour localization in a lobe and the patient positioning in the OR for a population of 159 surgical cases. Additional examples will outline other facets of surgery which can be addressed. Finally, I will show how this approach can be used in clinical applications.