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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
MICCAI
2005
Springer
14 years 8 months ago
A Segmentation and Reconstruction Technique for 3D Vascular Structures
Abstract. In the context of stroke therapy simulation, a method for the segmentation and reconstruction of human vasculature is presented and evaluated. Based on CTA scans, semi-au...
Vincent Luboz, Xunlei Wu, Karl Krissian, Carl-Fred...
MICCAI
1998
Springer
13 years 11 months ago
Marching Optimal-Parameter Ridges: An Algorithm to Extract Shape Loci in 3D Images
This paper presents a method for identifying image loci that can be used as a basis for object segmentation and image registration. The focus is on 1D and 2D shape loci in 3D image...
Jacob Furst, Stephen M. Pizer
ECCV
2006
Springer
14 years 9 months ago
Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data
Abstract. Automatic delineation of anatomical structures in 3-D volumetric data is a challenging task due to the complexity of the object appearance as well as the quantity of info...
Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Srira...
IPMI
2009
Springer
14 years 8 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu