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ICIP
2005
IEEE
14 years 1 months ago
Atlas-based segmentation of medical images locally constrained by level sets
Atlas-based segmentation has become a standard paradigm for exploiting prior knowledge in medical image segmentation. In this paper, we propose a method to exploit both the robust...
Valerie Duay, Nawal Houhou, Jean-Philippe Thiran
ISBI
2007
IEEE
14 years 2 months ago
Statistically-Constrained Deformable Registration of Mr Brain Images
Statistical models of deformations (SMD) capture the variability of deformations of a group of sample images, and they are often used to constrain deformable registration, thereby...
Zhong Xue, Dinggang Shen
PAMI
2006
243views more  PAMI 2006»
13 years 7 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers
MICCAI
2005
Springer
14 years 8 months ago
Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy
Deforming a digital atlas towards a patient image allows the simultaneous segmentation of several structures. Such an intersubject registration is difficult as the deformations to ...
Grégoire Malandain, Nicholas Ayache, Olivie...
ICPR
2008
IEEE
14 years 2 months ago
Graph cut based deformable model with statistical shape priors
This paper presents a novel graph cut based segmentation approach with shape priors. The model incorporates statistical shape prior information with the active contour without edg...
Noha Youssry El-Zehiry, Adel Elmaghraby