Reconstruction of PET images using anatomical adaptive parameters and hybrid regularization
Positron Emission Tomography (PET) is a nuclear medicine technique used to obtain metabolic images of the body. PET scanners used in the research, treatment, and monitoring of several diseases provide images of metabolic activity associated with the ailments. However, the data produced by PET are...
Saved in:
Hovedforfatter: | mejia, jose |
---|---|
Andre forfattere: | Mederos Madrazo, Boris Jesús, Ortega Maynez, Leticia, Avelar, Liliana |
Format: | Artículo |
Sprog: | en_US |
Udgivet: |
2018
|
Fag: | |
Online adgang: | https://doi.org/10.13053/CyS-22-2-2425 http://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/2425/2481 |
Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
Lignende værker
-
Reconstruction of PET Images Using Cross-Entropy and Field of Experts
af: Mejia, Jose
Udgivet: (2019) -
Auto-regularized Gradients of Adaptive Interpolation for MRI Super-Resolution
af: Morera Delfin, Leandro
Udgivet: (2018) -
Overview of Super-resolution Techniques
af: Morera Delfín, Leandro
Udgivet: (2018) -
Dictionary-based super resolution for positron emission tomography images
af: Rodríguez Hernández, Leandro José
Udgivet: (2019) -
Reconstruction of PET Images Using Cross-Entropy and Field of Experts
af: Mejia, Jose
Udgivet: (2019)