IEEE Transactions on Medical Imaging · 2001 · 41 citations · 26 references
ComputingCardiologyComputer ScienceBiomedical ImagingComputer VisionDiagnostic Imaging3D ReconstructionCardiovascular ImagingCoronary Artery ImagingShape AnalysisShape RepresentationThree-dimensional ReconstructionConvergenceCoronary Vessel TrackingDeformable ModelsDeformationDeformation RatesEpipolar GeometryFourier DescriptorsShape
A new method for coronary artery tracking in biplane digital subtraction is presented. The dynamic tracking of nonrigid objects from two views is achieved using a generalization of parametrically deformable models. Three-dimensional (3-D) Fourier descriptors used for shape representation are obtained from the two-dimensional (2-D) descriptors of the projections. A new constraint inferred from epipolar geometry is applied to the contour model. Direct 3-D tracking is compared with the classical approach in two steps: independent 2-D tracking in each of the two projection planes; 3-D reconstruction using the epipolar constraint. Convergence quality and accuracy of the 3-D reconstruction are analyzed for several sequences showing different displacement amplitudes, deformation rates and image contrasts.
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Savitzky-Golay Smoothing Filters
William H. Press, Saul A. Teukolsky · Computers in Physics · 1990 · 11.8K citations · Full text
A computer algorithm for reconstructing a scene from two projections
H. C. Longuet–Higgins · Nature · 1981 · 2.4K citations