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2002

Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming

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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 subsequent quantitative analysis. We propose a new hybrid strategy that combines a general elastic template matching approach and an evolutionary heuristic. The evolutionary algorithm uses prior statistical information about the shape of the target structure to control the behavior of a number of deformable templates. Each template, modeled in the form of a -spline, is warped in a potential field which is itself dynamically adapted. Such a hybrid scheme proves to be promising: by maintaining a population of templates, we cover a large domain of the solution space under the global guidance of the evolutionary heuristic, and thoroughly explore interesting areas. We address key issues of automated image segmentation systems. -- The potential fields are initially designed based on the spatial features of the edges in the ...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where TMI
Authors Alain Pitiot, Arthur W. Toga, Paul M. Thompson
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