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Modeling diffusion-weighted MRI as a spatially variant Gaussian mixture: Application to image denoising
Purpose: This work describes a spatially variant mixture model constrained by a Markov random field to model high angular resolution diffusion imaging (HARDI) data. Mixture models suit HARDI well because the attenuation by diffusion is inherently a mixture. The goal is to create a general model that...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3145221/ https://ncbi.nlm.nih.gov/pubmed/21859036 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3599724 |
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