Implicit Dual Snakes for Medical Imaging

Dual snake models are powerful techniques for boundary extraction and segmentation of 2D medical images. In these methods one contour contracts from outside the target and another one expands from inside as a balanced technique with the ability to reject local minima. Such approach was originally pr...

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Published in2006 International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2006; pp. 3025 - 3028
Main Authors Giraldi, G.A., Rodrigues, P.S., Jasjit S Suri
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 2006
Subjects
Algorithms
Biomedical Engineering
Biomedical imaging
Brain - anatomy & histology
Contracts
Diagnostic Imaging - statistics & numerical data
Equations
Humans
Image Processing, Computer-Assisted - statistics & numerical data
Image segmentation
Level set
Magnetic Resonance Imaging
Models, Statistical
Proposals
Shape
USA Councils
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Summary:Dual snake models are powerful techniques for boundary extraction and segmentation of 2D medical images. In these methods one contour contracts from outside the target and another one expands from inside as a balanced technique with the ability to reject local minima. Such approach was originally proposed in the context of parametric snakes. Recently, two implicit formulation for dual snakes were presented: our proposal, called the dual-level-set, and the dual-front approach. In this paper we review these methods and offer some comparisons. We survey applications for shape recovery in 2D cell and human brain MRI images
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ISBN:9781424400324
1424400325
ISSN:1557-170X
DOI:10.1109/IEMBS.2006.260132