Noise reduction of diffusion tensor images by sparse representation and dictionary learning

BACKGROUND: The low quality of diffusion tensor image (DTI) could affect the accuracy of oncology diagnosis. METHODS: We present a novel sparse representation based denoising method for three dimensional DTI by learning adaptive dictionary with the context redundancy between neighbor slices. In this...

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Detalles Bibliográficos
Autores principales: Kong, Youyong, Li, Yuanjin, Wu, Jiasong, Shu, Huazhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710997/
https://www.ncbi.nlm.nih.gov/pubmed/26758740
http://dx.doi.org/10.1186/s12938-015-0116-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710997/
https://www.ncbi.nlm.nih.gov/pubmed/26758740
http://dx.doi.org/10.1186/s12938-015-0116-3

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