Neuronavegación con un modelo de corrección a tiempo real con ecografía intraoperatoria

Fabrice  Chassat; Marek Bucki; Yohan  Payan; Fabrice Jaillet

doi:10.47924/neurotarget2007374

Authors

Fabrice Chassat Mathematical Modeling Center
Marek Bucki Laboratoire des Techniques de l'Imagerie et de la Cognition, CNRS UMR 5525
Yohan Payan Laboratoire des Techniques de l'Imagerie et de la Cognition, CNRS UMR 5525
Fabrice Jaillet Laboratoire d'Informatique en Image et Systèmes d'information, CNRS UMR 5205

DOI:

https://doi.org/10.47924/neurotarget2007374

Keywords:

neuronavigation, brain shift, soft tissue deformation, biomechanical modelling

Abstract

We present our project which aims at developing, validating and proposing a prototype for a neuronavigation station able to improve the precision of the actual systems, without per-operative MRI. Our goal is to integrate, in a "classical" image guided surgery (IGS) station, a model of the defor- mations of the cerebral soft-tissue and more specifically the "brain shift", phenomenon which is observed during neurosurgery. This unables the IGS stations presently commercialized around the world to take into account most of the brain open surgeries. These stations help guiding the surgeons for gestures such as biopsies or tumor resection. Starting from pre-operative medical imaging exams, the tumor is localized on the images and the surgical planning is transferred into the operating room. Because of the "brain shift", this planning has to be updated during surgery, to ensure sufficient accuracy. The solutions proposed consist in developing a real-time mechanical model of the brain soft tissues, which will be updated with intraoperative ultrasound images, in order to estimate and compensate the mechanical deformations of the brain during surgery. We present advanced technologies for neurosurgery.

Metrics

Metrics Loading ...

References

Nimsky C, Ganslandt O, Cerny S. Quantification of, visualization of, and compensation for brain shift using intraoperative magnetic resonance imaging. Neurosurgery 2000;47(5):1070-9.

Lavallée S. Registration for Computer-Integrated Surgery: Methodology, State of the Art. In: Taylor RH, Lavallée S, Burdea GC, Mosges R, editors. Computer-Integrated Surgery: Technology and Clinical Applications. Cambridge (MA): MIT Press; 1996. p. 77-97.

Szeliski R, Lavallée S. Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines. Int J of Computer Vision 1996;18(2):171-86.

Skrinjar O, Nabavi A, Duncan J. Model-driven brain shift compensation. Med Image Anal 2002;6(4):361-73.

George, PL, Hecht F, Saltel E. Automatic Mesh Generator with Specified Boundary. Computer Meth in Appl Mech and Eng 1991;92(3):269-88.

Owen SJ. A survey of unstructured mesh generation technology. In: Proceedings: 7th International Meshing Roundtable. Dearborn (MI); 1998 Oct. Also in: [online]. Pittsburgh (PA): Carnegie Mellon University; 2005 [cited 2007 June 13]. Available from World Wide Web: http://www.andrew.cmu.edu/user/sowen/survey/.

Shephard MS, Georges MK. Automatic three-dimensional mesh generation by the finite octree technique. Int J for Numer Meth in Eng 1991;32(4):709-49.

Lo SH. Volume discretization into tetrahedral: Part II - 3D triangulation by advancing front approach. Computers & Structures 1991;39(5):501-11.

Löhner R. Progress in Grid Generation via the Advancing Front Technique. Engineering with Computers 1996;12(3-4):186-210.

Couteau B, Payan Y, Lavallée S. The mesh-matching algorithm: an automatic 3D mesh generator for finite element structures. J Biomech 2000;33(8):1005-9.

Keyak JH, Meagher JM, Skinner HB, Mote CB. Automated three dimensional finite element modeling of bone: a new method. J Biomed Eng 1990;12(5):389-97.

Miga MI, Paulsen KD, Lemery JM, Eisner SD, Hartov A, Kennedy FE, Roberts DW. Model-updated image guidance: initial clinical experiences with gravity induced brain deformation. IEEE Trans Med Imag 1999;18(10):866-74.

Paulsen KD, Miga MI, Kennedy FE, Hoopes PJ, Hartov A, Roberts DW. A computational model for tracking subsurface tissue deformation during stereotactic neurosurgery. IEEE Trans Biomed Eng 1999;46(2):213-25.

Miller K. Biomechanics of soft tissues. Med Sci Monit 2000;6(1):158-67.

Miller K, Chinzei K. Mechanical properties of brain tissue in tension. J Biomech 2002;35(4):483-90.

Baudet V, Jaillet F, Shariat B, Villard PF, Beuve M, Bayle J-Y. Approach to Simulate Tumour Displacements in Lungs with Mass Spring System. In: Proceedings: 9th workshop HCPBM (Heavy Charged Particles in Biology and Medicine). Lyon (Fr); 2003 Oct. p. 31.

Van Gelder A. Approximate Simulation of Elastic Membranes by Triangulated Spring Meshes. Journal of Graphics Tools 1998;3(2):21-42.