ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

Technical Program

Paper Detail

Paper:TA-L3.5
Session:Biomedical Image Registration and Fusion
Time:Tuesday, October 10, 11:20 - 11:40
Presentation: Lecture
Title: DISTORTION CORRECTION VIA NON-RIGID REGISTRATION OF FUNCTIONAL TO ANATOMICAL MAGNETIC RESONANCE BRAIN IMAGES
Authors: Ali Gholipour; University of Texas at Dallas 
 Nasser Kehtarnavaz; University of Texas at Dallas 
 Kaundynia Gopinath; University of Texas Southwestern Medical Center 
 Richard Briggs; University of Texas Southwestern Medical Center 
 Michael Devous; University of Texas Southwestern Medical Center 
 Robert Haley; University of Texas Southwestern Medical Center 
Abstract: Functional to anatomical brain image registration is needed for accurate localization of brain activation maps. Due to the presence of nonlinear distortions, it is more effective to consider non-rigid transformations to achieve such a registration. In this paper, a non-rigid registration technique based on the B-spline free-form deformation model and mutual information similarity measure is introduced. An optimization formulation is devised to achieve a fast and robust registration. This formulation differs from the previous formulations by utilizing a limited memory second-order optimization algorithm instead of the usual first-order gradient based algorithms. It also enforces hard parameter constraints instead of physics-based or Jacobian-based smoothness constraints. The results obtained indicate that the introduced registration technique provides improvements over rigid and affine techniques when registering functional to anatomical magnetic resonance brain images.