Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature
Positron emission tomography (PET) provides images of metabolic activity in the body, and it is used in the research, monitoring, and diagnosis of several diseases. However, the raw data produced by the scanner are severely corrupted by noise, causing a degraded quality in the reconstructed images....
Guardado en:
Autor principal: | mejia, jose |
---|---|
Otros Autores: | Mederos Madrazo, Boris Jesús, Zhao, Jie, Ortega Maynez, Leticia, Gordillo Castillo, Nelly |
Formato: | Artículo |
Lenguaje: | en_US |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | https://doi.org/10.1155/2018/4706165 https://www.hindawi.com/journals/jhe/2018/4706165/ |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Reconstruction of PET Images Using Cross-Entropy and Field of Experts
por: Mejia, Jose
Publicado: (2019) -
Reconstruction of PET Images Using Cross-Entropy and Field of Experts
por: Mejia, Jose
Publicado: (2019) -
Prediction of time series using wavelet Gaussian process for wireless sensor networks
por: Mejia, Jose
Publicado: (2020) -
Dictionary-based super resolution for positron emission tomography images
por: Rodríguez Hernández, Leandro José
Publicado: (2019) -
Deep learning-based super resolution methodology for positron emission tomography imaging: 4CP22-29
por: Leandro Rodríguez Hernández, et al.
Publicado: (2022)