On the Effects of Model Complexity in Computing Brain Deformation for Image-Guided Neurosurgery

2011 ◽  
pp. 51-61
Author(s):  
Jiajie Ma ◽  
Adam Wittek ◽  
Benjamin Zwick ◽  
Grand R. Joldes ◽  
Simon K. Warfield ◽  
...  
Keyword(s):  
Model Complexity ◽  
Image Guided ◽  
Brain Deformation

Real-Time Biomechanical Simulation of Volumetric Brain Deformation for Image Guided Neurosurgery

2000 ◽  
Author(s):  
S.K. Warfield ◽  
M. Ferrant ◽  
X. Gallez ◽  
A. Nabavi ◽  
F.A. Jolesz ◽  
...  
Keyword(s):  
Real Time ◽  
Image Guided ◽  
Brain Deformation ◽  
Biomechanical Simulation

scholarly journals An ITK implementation of a physics-based non-rigid registration method for brain deformation in image-guided neurosurgery

2014 ◽  
Vol 8 ◽  
Author(s):  
Yixun Liu ◽  
Andriy Kot ◽  
Fotis Drakopoulos ◽  
Chengjun Yao ◽  
Andriy Fedorov ◽  
...  
Keyword(s):  
Registration Method ◽  
Rigid Registration ◽  
Image Guided ◽  
Brain Deformation

Graphical user interfaces for simulation of brain deformation in image-guided neurosurgery

2010 ◽  
Author(s):  
Xiaoyao Fan ◽  
Songbai Ji ◽  
Pablo Valdes ◽  
David W. Roberts ◽  
Alex Hartov ◽  
...  
Keyword(s):  
User Interfaces ◽  
Graphical User Interfaces ◽  
Image Guided ◽  
Brain Deformation

Real-time simulation and visualization of volumetric brain deformation for image-guided neurosurgery

2001 ◽  
Author(s):  
Matthieu Ferrant ◽  
Arya Nabavi ◽  
Benoit M. M. Macq ◽  
Ron Kikinis ◽  
Simon K. Warfield
Keyword(s):  
Real Time ◽  
Real Time Simulation ◽  
Image Guided ◽  
Brain Deformation ◽  
Time Simulation

Image-Guided Steroid Injections Urged in Hip OA

2006 ◽  
Vol 39 (17) ◽  
pp. 15
Author(s):  
BRUCE JANCIN
Keyword(s):  
Steroid Injections ◽  
Image Guided

Analyzing Stochastic Dependence of Cognitive Processes in Multidimensional Source Recognition

2014 ◽  
Vol 61 (5) ◽  
pp. 402-415 ◽  
Author(s):  
Thorsten Meiser
Keyword(s):  
Cognitive Processes ◽  
Model Complexity ◽  
Multinomial Model ◽  
Stochastic Dependence ◽  
New Model ◽  
Multinomial Processing Tree ◽  
Cognitive States ◽  
The Family ◽  
Tree Models ◽  
Flexible Framework

Stochastic dependence among cognitive processes can be modeled in different ways, and the family of multinomial processing tree models provides a flexible framework for analyzing stochastic dependence among discrete cognitive states. This article presents a multinomial model of multidimensional source recognition that specifies stochastic dependence by a parameter for the joint retrieval of multiple source attributes together with parameters for stochastically independent retrieval. The new model is equivalent to a previous multinomial model of multidimensional source memory for a subset of the parameter space. An empirical application illustrates the advantages of the new multinomial model of joint source recognition. The new model allows for a direct comparison of joint source retrieval across conditions, it avoids statistical problems due to inflated confidence intervals and does not imply a conceptual imbalance between source dimensions. Model selection criteria that take model complexity into account corroborate the new model of joint source recognition.

Sign in / Sign up

Export Citation Format

Share Document