Cargando…
A New Hybrid Inversion Method for 2D Nuclear Magnetic Resonance Combining TSVD and Tikhonov Regularization
This paper is concerned with the reconstruction of relaxation time distributions in Nuclear Magnetic Resonance (NMR) relaxometry. This is a large-scale and ill-posed inverse problem with many potential applications in biology, medicine, chemistry, and other disciplines. However, the large amount of...
Autores principales: | Landi, Germana, Zama, Fabiana, Bortolotti, Villiam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321259/ https://www.ncbi.nlm.nih.gov/pubmed/34460617 http://dx.doi.org/10.3390/jimaging7020018 |
Ejemplares similares
-
An Automatic Pixel-Wise Multi-Penalty Approach to Image Restoration
por: Bortolotti, Villiam, et al.
Publicado: (2023) -
Influence of the Tikhonov Regularization Parameter on the Accuracy of the Inverse Problem in Electrocardiography
por: Wang, Tiantian, et al.
Publicado: (2023) -
Variational regularization for systems of inverse problems: Tikhonov regularization with multiple forward operators
por: Huber, Richard
Publicado: (2019) -
Advances in the Interpretation of Frequency-Dependent Nuclear Magnetic Resonance Measurements from Porous Material
por: Faux, David, et al.
Publicado: (2019) -
Tikhonov regularization of a second order dynamical system with Hessian driven damping
por: Boţ, Radu Ioan, et al.
Publicado: (2020)