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» Geodesic Deformable Models for Medical Image Analysis
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IPMI
2007
Springer
16 years 4 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
MICCAI
2007
Springer
16 years 4 months ago
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models
In this paper, we propose a fully automatic method for the coupled 3D localization and segmentation of lower abdomen structures. We apply it to the joint segmentation of the prosta...
Hervé Delingette, María Jimena Costa...
143
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ISBI
2006
IEEE
15 years 10 months ago
Comparing optical-flow based methods for quantification of myocardial deformations on RT3D ultrasound
Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable threedimensio...
Qi Duan, Elsa D. Angelini, Olivier Gérard, ...
DGCI
2000
Springer
15 years 8 months ago
Deformable Modeling for Characterizing Biomedical Shape Changes
Abstract. We present a new algorithm for modeling and characterizing shape changes in 3D image sequences of biomedical structures. Our algorithm tracks the shape changes of the obj...
Matthieu Ferrant, Benoit M. Macq, Arya Nabavi, Sim...
TMI
2002
248views more  TMI 2002»
15 years 3 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson