Title :
Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework
Author :
Tustison, N.J. ; Awate, S.P. ; Altes, T.A. ; Gee, J.C. ; Cai, J. ; Miller, G.W. ; de Lange, E.E. ; Mugler, J.P., III
Author_Institution :
Dept. of Radiol., Pennsylvania Univ., Philadelphia, PA
Abstract :
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.
Keywords :
biomechanics; biomedical MRI; deformation; image registration; lung; medical image processing; algorithmic domain; biomechanical property; deterministic annealing framework; lung; medical imagery; point-set registration; pulmonary deformation; structurally-based Jensen-Shannon divergence; tagged He-3 magnetic resonance imaging; visually tracking deformation; Annealing; Entropy; Gabor filters; Image sampling; Image segmentation; Lungs; Magnetic resonance imaging; Probability density function; Radiology; Spline; B-splines; Gabor filter bank; Jensen-Shannon entropy; free-form deformation; point-set registration;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-2002-5
Electronic_ISBN :
978-1-4244-2003-2
DOI :
10.1109/ISBI.2008.4541110
