Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework

Helium-3 tagged magnetic resonance imaging has demonstrated potential for calculating pulmonary deformation from medical imagery. Such measurements are useful for determining the biomechanical properties of the lung. Unfortunately, the relative facility of visually tracking deformation via the high...

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Bibliographic Details
Main Authors: Tustison, N.J., Awate, S.P., Altes, T.A., Gee, J.C., Cai, J., Miller, G.W., de Lange, E.E., Mugler, J.P.
Format: Conference Proceeding
Language:English
Subjects:
Annealing
B-splines
Entropy
free-form deformation
Gabor filter bank
Gabor filters
Image sampling
Image segmentation
Jensen-Shannon entropy
Lungs
Magnetic resonance imaging
point-set registration
Probability density function
Radiology
Spline
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Summary:Helium-3 tagged magnetic resonance imaging has demonstrated potential for calculating pulmonary deformation from medical imagery. Such measurements are useful for determining the biomechanical properties of the lung. Unfortunately, the relative facility of visually tracking deformation via the high contrast tag lines has not transferred readily to the algorithmic domain of automatically establishing tag-line correspondences. We proffer a solution to this dilemma by translating the problem into a unique point-set registration scenario. Not only does this permit capitalizing on certain spectral aspects of tagged MRI but registration can be performed within a deterministic annealing framework for decreased susceptibility to local minima.
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2008.4541110