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MICCAI
2009
Springer
16 years 25 days ago
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
VISUALIZATION
2005
IEEE
15 years 5 months ago
Surface Reconstruction Via Contour Metamorphosis: An Eulerian Approach With Lagrangian Particle Tracking
We present a robust method for 3D reconstruction of closed surfaces from sparsely sampled parallel contours. A solution to this problem is especially important for medical segment...
Ola Nilsson, David E. Breen, Ken Museth
MICCAI
2004
Springer
16 years 16 days ago
Construction of 3D Dynamic Statistical Deformable Models for Complex Topological Shapes
Abstract. This paper describes the construction of 3D dynamic statistical deformable models for complex topological shapes. It significantly extents the existing framework in that ...
Paramate Horkaew, Guang-Zhong Yang
TMI
2002
147views more  TMI 2002»
14 years 11 months ago
Cortex Segmentation - A Fast Variational Geometric Approach
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...
MICCAI
1998
Springer
15 years 3 months ago
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...