Auto-regularized Gradients of Adaptive Interpolation for MRI Super-Resolution
In this paper, a method for adaptive pure interpolation (PI) of magnetic resonance imaging (MRI) in the frequency domain, with gradient auto-regularization, is proposed. The input image is transformed into the frequency domain and convolved with the Fourier transform (FT) of a 2D sampling array (int...
Sparad:
Huvudupphovsman: | Morera Delfin, Leandro |
---|---|
Övriga upphovsmän: | Pinto Elías, Raúl, Ochoa Domínguez, Humberto, Vergara Villegas, Osslan Osiris |
Materialtyp: | Artículo |
Språk: | spa |
Publicerad: |
2018
|
Ämnen: | |
Länkar: | https://doi.org/10.1007/s11265-018-1408-1 https://link.springer.com/article/10.1007%2Fs11265-018-1408-1 |
Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|
Liknande verk
-
Overview of Super-resolution Techniques
av: Morera Delfín, Leandro
Publicerad: (2018) -
Dictionary-based super resolution for positron emission tomography images
av: Rodríguez Hernández, Leandro José
Publicerad: (2019) -
Reconstruction of PET images using anatomical adaptive parameters and hybrid regularization
av: mejia, jose
Publicerad: (2018) -
Driving Maximal Frequency Content and Natural Slopes Sharpening for Image Amplification with High Scale Factor
av: Leandro Morera, Delfin
Publicerad: (2018) -
High Amplification Scales Handling Frequency Content and Novel Gradient Sharpening Procedures
av: Morera Delfin, Leandro
Publicerad: (2018)