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Technical Program
Paper Detail
| Paper: | TA-L3.5 |
| Session: | Biomedical Image Registration and Fusion |
| Time: | Tuesday, October 10, 11:20 - 11:40 |
| Presentation: |
Lecture
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| 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. |
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