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» Active Volume Models for 3D Medical Image Segmentation
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MICCAI
2001
Springer
14 years 1 days ago
Segmentation of Dynamic N-D Data Sets via Graph Cuts Using Markov Models
Abstract. This paper describes a new segmentation technique for multidimensional dynamic data. One example of such data is a perfusion sequence where a number of 3D MRI volumes sho...
Yuri Boykov, Vivian S. Lee, Henry Rusinek, Ravi Ba...
SIAMIS
2008
292views more  SIAMIS 2008»
13 years 7 months ago
Topology Preserving Linear Filtering Applied to Medical Imaging
One of the central problems of medical imaging is the 3D visualization of body parts. The 3D volume can be viewed in slices, but the extraction of a part requires a segmentation p...
Antoni Buades, Aichi Chien, Jean-Michel Morel, Sta...
ICIP
2003
IEEE
14 years 9 months ago
Geometric segmentation of 3D structures
Segmentation in volumetric images deals with separating `objects' from their `background' in a given 3D data. Usually, one starts with `edge detectors' that give bi...
Ron Kimmel
MICCAI
2009
Springer
14 years 5 days ago
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eï¬...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
ISBI
2004
IEEE
14 years 8 months ago
Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
Alejandro F. Frangi, Loic Boisrobert, Marcos Lauce...