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» Gradient field distributions for the registration of images
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MICCAI
2006
Springer
14 years 8 months ago
Transformation Model and Constraints Cause Bias in Statistics on Deformation Fields
This work investigates the effects of nonrigid transformation model and deformation constraints on the results of deformation-based morphometry (DBM) studies. We evaluate three pop...
Torsten Rohlfing
MICCAI
2006
Springer
14 years 8 months ago
Automatic Point Landmark Matching for Regularizing Nonlinear Intensity Registration: Application to Thoracic CT Images
Nonlinear image registration is a prerequisite for a variety of medical image analysis tasks. A frequently used registration method is based on manually or automatically derived po...
Martin Urschler, Christopher Zach, Hendrik Ditt, H...
IPMI
2009
Springer
14 years 8 months ago
Unifying encoding of spatial information in mutual information for nonrigid registration
As encoding spatial information into mutual information (MI) can improve the nonrigid registration against bias fields where the conventional MI is challenged, we propose to unify ...
David J. Hawkes, Sébastien Ourselin, Xiahai...
PAMI
2007
155views more  PAMI 2007»
13 years 6 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
WACV
2002
IEEE
14 years 8 days ago
Segmentation of Myocardium Using Velocity Field Constrained Front Propagation
We present a velocity-constrained front propagation approach for myocardium segmentation from magnetic resonance intensity image (MRI) and its matching phase contrast velocity (PC...
Alexandra L. N. Wong, Huafeng Liu, Pengcheng Shi