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VMV
2001
248views Visualization» more  VMV 2001»
13 years 8 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
CVPR
2009
IEEE
15 years 2 months ago
Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatom- ical structures in many medical imaging modalities. To accurately...
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaoh...
ECCV
2000
Springer
14 years 8 months ago
3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation
The causal estimation of three-dimensional motion from a sequence of two-dimensional images can be posed as a nonlinear filtering problem. We describe the implementation of an algo...
Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefa...
ISBI
2006
IEEE
14 years 7 months ago
Efficient 3-D adaptive filtering for medical image enhancement
Tensor based orientation adaptive filtering, an explicit methodology for anisotropic filtering, constitutes a flexible framework for medical image enhancement. The technique featu...
Örjan Smedby, Björn Svensson, Hans Knuts...
BILDMED
2009
251views Algorithms» more  BILDMED 2009»
13 years 8 months ago
Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures
Abstract. We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and...
Stefan Wörz, William J. Godinez, Karl Rohr