Abstract—Simulating the brain tissue deformation caused by tumor growth has been found to aid the deformable registration of brain tumor images. In this paper, we evaluate the impact that different biomechanical simulators have on the accuracy of deformable registration. We use two alternative frameworks for biomechanical simulations of mass effect in 3-D magnetic resonance (MR) brain images. The first one is based on a finite-element model of nonlinear elasticity and unstructured meshes using the commercial software package ABAQUS. The second one employs incremental linear elasticity and regular grids in a fictitious domain method. In practice, biomechanical simulations via the second approach may be at least ten times faster. Landmarks er...
A biomechanical model-based deformable image registration incorporating specimen-specific changes in...
Computational biomechanics of the brain for neurosurgery is an emerging area of research recently ga...
Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In...
Simulating the brain tissue deformation caused by tumor growth has been found to aid the deformable ...
Abstract. The finite element method is applied to the biomechanics of brain tissue deformation. Emph...
Abstract—A biomechanical model of the brain is presented, using a finite-element formulation. Emphas...
Abstract. An approach to deformable registration of three-dimensional brain tumor images to a normal...
A deformable registration method is proposed to register a brain atlas with tumor-bearing brain scan...
State-of-the art algorithms for deformable image registration are based on the minimization of an im...
Abstract. State-of-the art algorithms for deformable image registration are based on the min-imizati...
Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In...
Estimation of brain deformation plays an important role in computer-aided therapy and image-guided n...
Objective: Medical image registration can be formulated as a tissue deformation problem, where param...
Associate Editor Joel D. Stitzel oversaw the review of this article. Abstract—In this paper we evalu...
Abstract Background Advanced clinical applications, such as dose accumulation and adaptive radiation...
A biomechanical model-based deformable image registration incorporating specimen-specific changes in...
Computational biomechanics of the brain for neurosurgery is an emerging area of research recently ga...
Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In...
Simulating the brain tissue deformation caused by tumor growth has been found to aid the deformable ...
Abstract. The finite element method is applied to the biomechanics of brain tissue deformation. Emph...
Abstract—A biomechanical model of the brain is presented, using a finite-element formulation. Emphas...
Abstract. An approach to deformable registration of three-dimensional brain tumor images to a normal...
A deformable registration method is proposed to register a brain atlas with tumor-bearing brain scan...
State-of-the art algorithms for deformable image registration are based on the minimization of an im...
Abstract. State-of-the art algorithms for deformable image registration are based on the min-imizati...
Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In...
Estimation of brain deformation plays an important role in computer-aided therapy and image-guided n...
Objective: Medical image registration can be formulated as a tissue deformation problem, where param...
Associate Editor Joel D. Stitzel oversaw the review of this article. Abstract—In this paper we evalu...
Abstract Background Advanced clinical applications, such as dose accumulation and adaptive radiation...
A biomechanical model-based deformable image registration incorporating specimen-specific changes in...
Computational biomechanics of the brain for neurosurgery is an emerging area of research recently ga...
Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In...