Can Anisotropic Images be Upsampled?
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Summary
A novel method for upsampling anisotropic medical gray-scale images by fitting an image function, modeled by cubic B-splines, to the slices and converting correspondences between adjacent slices into a prior that penalizes gradients along lines of correspondence.
- Type
- article
- Published
- 2010-01-01
- Cited by
- 2
- References
- 9
- Access
- Open access
- OpenAlex
- https://openalex.org/W2522597
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:35856923
Keywords
Materials science, Anisotropy, Computer science, Optics, Physics
References
- Riemannian Elasticity: A Statistical Regularization Framework for Non-linear Registration
- Registration-based interpolation applied to cardiac MRI
- The Fourier reconstruction of a head section
- The rician distribution of noisy mri data
- Nonrigid registration using free-form deformations: application to breast MR images
- A New Method for Registration-Based Medical Image Interpolation
- A Computational Approach to Edge Detection
- Cubic convolution interpolation for digital image processing
- Registration-based interpolation
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