Optimization of Regularization Parameters in Compressed Sensing of Magnetic Resonance Angiography: Can Statistical Image Metrics Mimic Radiologists' Perception?

In Compressed Sensing (CS) of MRI, optimization of the regularization parameters is not a trivial task. We aimed to establish a method that could determine the optimal weights for regularization parameters in CS of time-of-flight MR angiography (TOF-MRA) by comparing various image metrics with radio...

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Detalles Bibliográficos
Autores principales: Akasaka, Thai, Fujimoto, Koji, Yamamoto, Takayuki, Okada, Tomohisa, Fushumi, Yasutaka, Yamamoto, Akira, Tanaka, Toshiyuki, Togashi, Kaori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706324/
https://www.ncbi.nlm.nih.gov/pubmed/26744843
http://dx.doi.org/10.1371/journal.pone.0146548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706324/
https://www.ncbi.nlm.nih.gov/pubmed/26744843
http://dx.doi.org/10.1371/journal.pone.0146548

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