Mr-dti rician denoising
In this work we tackle the problem of Magnetic Resonance Images (MRI) Rician denoising to enhance Diffusion Tensor Image (DTI) reconstruction. In a variational framework based on the Total Variation operator, the model of the Rician noise leads to the resolution of a highly nonlinear equation associ...
- Autores:
-
Martín, Adriana
Garamendi, Juan Francisco
Schiavi, Emanuele
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2013
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/39594
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/39594
http://bdigital.unal.edu.co/29691/
- Palabra clave:
- MRI
DWI
DTI
Rician noise
Variational
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | In this work we tackle the problem of Magnetic Resonance Images (MRI) Rician denoising to enhance Diffusion Tensor Image (DTI) reconstruction. In a variational framework based on the Total Variation operator, the model of the Rician noise leads to the resolution of a highly nonlinear equation associated to the energy minimization problem. An iterative algorithm is proposed and validated on synthetic images. Finally the application to real Diffusion Weighted Images (DWI) is considered. |
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