Multi‐modal synergistic PET and MR reconstruction using mutually weighted quadratic priors

PURPOSE: To propose a framework for synergistic reconstruction of PET‐MR and multi‐contrast MR data to improve the image quality obtained from noisy PET data and from undersampled MR data. THEORY AND METHODS: Weighted quadratic priors were devised to preserve common boundaries between PET‐MR images...

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Detalles Bibliográficos
Autores principales: Mehranian, Abolfazl, Belzunce, Martin A., McGinnity, Colm J., Bustin, Aurelien, Prieto, Claudia, Hammers, Alexander, Reader, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Full Papers—Computer Processing and Modeling
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563465/
https://www.ncbi.nlm.nih.gov/pubmed/30325053
http://dx.doi.org/10.1002/mrm.27521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563465/
https://www.ncbi.nlm.nih.gov/pubmed/30325053
http://dx.doi.org/10.1002/mrm.27521

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