Determination of the elasticity parameters of brain tissue with combined simulation and registration Export

@article{Soza06, abstract = {Reliable elasticity parameters describing the behavior of a given material are an important issue in the context of physically-based simulation. In this paper we introduce a method for the determination of the mechanical properties of brain tissue.Elasticity parameters Young's modulus E and Poisson's ratio \&ngr; are estimated in an iterative framework coupling a finite element simulation with image registration. Within this framework, the outcome of the simulation is parameterized with both elasticity moduli that are automatically varied until optimal image correspondence between the simulated and the intraoperative data is achieved.We calculated optimal mechanical properties of brain tissue in six cases. The statistical analysis of the obtained values showed a good correlation of the results, thus proving the value of the method. An approach combining simulation and registration for the determination of the mechanical brain tissue properties is presented. This contributes to performing reliable physically-based simulation of soft tissue movement. Copyright {\copyright} 2005 John Wiley \& Sons, Ltd.}, address = {Computer Graphics Group, University of Erlangen-Nuremberg, Am Weichselgarten 9, 91058 Erlangen, Germany; Neurocenter, Department of Neurosurgery, University of Erlangen-Nuremberg, Schwabachanlage 6, 91054 Erlangen, Germany}, author = {Soza, G. and Grosso, R. and Nimsky, C. and Hastreiter, P. and Fahlbusch, R. and Greiner, G.}, citeulike-article-id = {5093717}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/rcs.32}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/112217719/ABSTRACT}, doi = {10.1002/rcs.32}, journal = {The International Journal of Medical Robotics and Computer Assisted Surgery}, keywords = {brain, elastic, non-rigid-registration, parameters-characterization, physical-properties, physically-based-modeling, registration, soft-tissue}, number = {3}, pages = {87--95}, posted-at = {2009-07-08 18:37:14}, priority = {2}, title = {Determination of the elasticity parameters of brain tissue with combined simulation and registration}, url = {http://dx.doi.org/10.1002/rcs.32}, volume = {1}, year = {2005} }

TY - JOUR ID - Soza06 L3 - citeulike-article-id:5093717 N2 - Reliable elasticity parameters describing the behavior of a given material are an important issue in the context of physically-based simulation. In this paper we introduce a method for the determination of the mechanical properties of brain tissue.Elasticity parameters Young's modulus E and Poisson's ratio &ngr; are estimated in an iterative framework coupling a finite element simulation with image registration. Within this framework, the outcome of the simulation is parameterized with both elasticity moduli that are automatically varied until optimal image correspondence between the simulated and the intraoperative data is achieved.We calculated optimal mechanical properties of brain tissue in six cases. The statistical analysis of the obtained values showed a good correlation of the results, thus proving the value of the method. An approach combining simulation and registration for the determination of the mechanical brain tissue properties is presented. This contributes to performing reliable physically-based simulation of soft tissue movement. Copyright © 2005 John Wiley & Sons, Ltd. IS - 3 JF - The International Journal of Medical Robotics and Computer Assisted Surgery AD - Computer Graphics Group, University of Erlangen-Nuremberg, Am Weichselgarten 9, 91058 Erlangen, Germany; Neurocenter, Department of Neurosurgery, University of Erlangen-Nuremberg, Schwabachanlage 6, 91054 Erlangen, Germany EP - 95 TI - Determination of the elasticity parameters of brain tissue with combined simulation and registration VL - 1 SP - 87 KW - brain KW - elastic KW - non-rigid-registration KW - parameters-characterization KW - physical-properties KW - physically-based-modeling KW - registration KW - soft-tissue AU - Soza, G AU - Grosso, R AU - Nimsky, C AU - Hastreiter, P AU - Fahlbusch, R AU - Greiner, G PY - 2005/// UR - http://dx.doi.org/10.1002/rcs.32 ER -