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» Cortex Segmentation - A Fast Variational Geometric Approach
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TMI
2002
147views more  TMI 2002»
13 years 5 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
13 years 9 months ago
Segmentation and Measurement of the Cortex from 3D MR Images
The cortex is the outermost thin layer of gray matter in the brain; geometric measurement of the cortex helps in understanding brain anatomy and function. In the quantitative analy...
Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz...
CVPR
2010
IEEE
14 years 1 months ago
An Approach to Vectorial Total Variation based on Geometric Measure Theory
We analyze a previously unexplored generalization of the scalar total variation to vector-valued functions, which is motivated by geometric measure theory. A complete mathematical...
Bastian Goldluecke, Daniel Cremers
DAGM
2004
Springer
13 years 10 months ago
Fast Statistically Geometric Reasoning About Uncertain Line Segments in 2D- and 3D-Space
This work addresses the two major drawbacks of current statistical uncertain geometric reasoning approaches. In the first part a framework is presented, that allows to represent u...
Christian Beder
JSCIC
2010
231views more  JSCIC 2010»
13 years 4 days ago
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Tom Goldstein, Xavier Bresson, Stanley Osher