Brain--Tumor Interaction Biophysical Models for Medical Image Registration
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[1] Christos Davatzikos,et al. A robust framework for soft tissue simulations with application to modeling brain tumor mass effect in 3D MR images , 2007, Physics in medicine and biology.
[2] Willem Hundsdorfer,et al. Numerical time integration for air pollution models , 1998 .
[3] Ronald Fedkiw,et al. Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.
[4] Tamara G. Kolda,et al. Algorithm 856: APPSPACK 4.0: asynchronous parallel pattern search for derivative-free optimization , 2006, TOMS.
[5] Helen M. Byrne,et al. A two-phase model of solid tumour growth , 2003, Appl. Math. Lett..
[6] Roland Glowinski,et al. Wavelet and Finite Element Solutions for the Neumann Problem Using Fictitious Domains , 1996 .
[7] A. Gefen,et al. Are in vivo and in situ brain tissues mechanically similar? , 2004, Journal of biomechanics.
[8] D. Brandt,et al. Multi-level adaptive solutions to boundary-value problems math comptr , 1977 .
[9] Keith D. Paulsen,et al. Assimilating intraoperative data with brain shift modeling using the adjoint equations , 2005, Medical Image Anal..
[10] K Miller,et al. Mechanical properties of brain tissue in-vivo: experiment and computer simulation. , 2000, Journal of biomechanics.
[11] R. Bajcsy,et al. A computerized system for the elastic matching of deformed radiographic images to idealized atlas images. , 1983, Journal of computer assisted tomography.
[12] G. Biros,et al. Fast Solvers for Soft Tissue Simulation with Application to Construction of Brain Tumor Atlases , 2007 .
[13] Claudio Pollo,et al. Atlas-based segmentation of pathological MR brain images using a model of lesion growth , 2004, IEEE Transactions on Medical Imaging.
[14] J. Murray,et al. A quantitative model for differential motility of gliomas in grey and white matter , 2000, Cell proliferation.
[15] Philippe Tracqui,et al. MODELLING THREE-DIMENSIONAL GROWTH OF BRAIN TUMOURS FROM TIME SERIES OF SCANS , 1999 .
[16] Bruce T. Murray,et al. Modeling tumor growth: a computational approach in a continuum framework , 2005 .
[17] Christos Davatzikos,et al. Finite Element Modeling of Brain Tumor Mass-Effect from 3D Medical Images , 2005, MICCAI.
[18] J. Hyman,et al. The Black Box Multigrid Numerical Homogenization Algorithm , 1998 .
[19] Laurent Capelle,et al. Continuous growth of mean tumor diameter in a subset of grade II gliomas , 2003, Annals of neurology.
[20] S Torquato,et al. Simulated brain tumor growth dynamics using a three-dimensional cellular automaton. , 2000, Journal of theoretical biology.
[21] L. G. Stern,et al. Fractional step methods applied to a chemotaxis model , 2000, Journal of mathematical biology.
[22] George Biros,et al. Parallel Lagrange-Newton-Krylov-Schur Methods for PDE-Constrained Optimization. Part I: The Krylov-Schur Solver , 2005, SIAM J. Sci. Comput..
[23] Jonathan Richard Shewchuk,et al. Sweep algorithms for constructing higher-dimensional constrained Delaunay triangulations , 2000, SCG '00.
[24] J. Murray,et al. Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion , 2003, Journal of the Neurological Sciences.
[25] M. Gurtin,et al. An introduction to continuum mechanics , 1981 .
[26] D. L. Sean McElwain,et al. A Mixture Theory for the Genesis of Residual Stresses in Growing Tissues I: A General Formulation , 2005, SIAM J. Appl. Math..
[27] Dinggang Shen,et al. A framework for predictive modeling of anatomical deformations , 2001, IEEE Transactions on Medical Imaging.
[28] Dimitris N. Metaxas,et al. In vivo strain and stress estimation of the heart left and right ventricles from MRI images , 2003, Medical Image Anal..
[29] Guangwei Yuan,et al. Convergence and stability of explicit/implicit schemes for parabolic equations with discontinuous coefficients , 2004 .
[30] Tamara G. Kolda,et al. Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization , 2005, SIAM J. Optim..
[31] M. Westphal,et al. Glioma invasion in the central nervous system. , 1996, Neurosurgery.
[32] Ruzena Bajcsy,et al. Advances in elastic matching theory and its implementation , 1997, CVRMed.
[33] Jan Modersitzki,et al. Numerical Methods for Image Registration , 2004 .
[34] Keith D. Paulsen,et al. Model-updated image guidance: initial clinical experiences with gravity-induced brain deformation , 1999, IEEE Transactions on Medical Imaging.
[35] Nick C Fox,et al. Computer-assisted imaging to assess brain structure in healthy and diseased brains , 2003, The Lancet Neurology.
[36] Christos Davatzikos,et al. Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model [MRI] , 1999, IEEE Transactions on Medical Imaging.
[37] Ron Kikinis,et al. Real-time registration of volumetric brain MRI by biomechanical simulation of deformation during image guided neurosurgery , 2002 .
[38] P. Roache. QUANTIFICATION OF UNCERTAINTY IN COMPUTATIONAL FLUID DYNAMICS , 1997 .
[39] Hervé Delingette,et al. Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation , 2005, IEEE Transactions on Medical Imaging.
[40] James S. Duncan,et al. Estimation of 3-D left ventricular deformation from medical images using biomechanical models , 2002, IEEE Transactions on Medical Imaging.
[41] Karl Rohr,et al. Biomedical Modeling of the Human Head for Physically-based, Non-rigid Image Registration , 1999, IEEE Trans. Medical Imaging.
[42] George Biros,et al. Parallel Lagrange-Newton-Krylov-Schur Methods for PDE-Constrained Optimization. Part II: The Lagrange-Newton Solver and Its Application to Optimal Control of Steady Viscous Flows , 2005, SIAM J. Sci. Comput..
[43] Alain Trouvé,et al. The Euler-Lagrange Equation for Interpolating Sequence of Landmark Datasets , 2003, MICCAI.
[44] K. Rohr,et al. Biomechanical modeling of the human head for physically based, nonrigid image registration , 1999, IEEE Transactions on Medical Imaging.
[45] L. Younes,et al. On the metrics and euler-lagrange equations of computational anatomy. , 2002, Annual review of biomedical engineering.
[46] D. Collins,et al. Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space , 1994, Journal of computer assisted tomography.
[47] Sandia Report,et al. Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization , 2004 .
[48] V. Cristini,et al. Nonlinear simulation of tumor growth , 2003, Journal of mathematical biology.
[49] Claudio H. Sibata,et al. Patient-specific tumor prognosis prediction via multimodality imaging , 1996, Medical Imaging.
[50] Christos Davatzikos,et al. An image-driven parameter estimation problem for a reaction–diffusion glioma growth model with mass effects , 2008, Journal of mathematical biology.
[51] T. Deisboeck,et al. Complex dynamics of tumors: modeling an emerging brain tumor system with coupled reaction–diffusion equations , 2003 .
[52] D L S McElwain,et al. A history of the study of solid tumour growth: The contribution of mathematical modelling , 2004, Bulletin of mathematical biology.
[53] D. Keyes,et al. Jacobian-free Newton-Krylov methods: a survey of approaches and applications , 2004 .
[54] Olivier Pironneau,et al. A FICTITIOUS DOMAIN BASED GENERAL PDE SOLVER , 2004 .
[55] K. Chinzei,et al. Mechanical properties of brain tissue in tension. , 2002, Journal of biomechanics.
[56] Russell H. Taylor,et al. Combining statistical and biomechanical models for estimation of anatomical deformations , 2006 .
[57] Michael I. Miller,et al. Volumetric transformation of brain anatomy , 1997, IEEE Transactions on Medical Imaging.
[58] G. Biros,et al. A Framework for Soft Tissue Simulations with Application to Modeling Brain Tumor Mass-Effect in 3 D Images , 2006 .