Dictionary learning compressed sensing reconstruction: pilot validation of accelerated echo planar J-resolved spectroscopic imaging in prostate cancer

OBJECTIVES: This study aimed at developing dictionary learning (DL) based compressed sensing (CS) reconstruction for randomly undersampled five-dimensional (5D) MR Spectroscopic Imaging (3D spatial + 2D spectral) data acquired in prostate cancer patients and healthy controls, and test its feasibilit...

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Detalles Bibliográficos
Autores principales: Joy, Ajin, Nagarajan, Rajakumar, Saucedo, Andres, Iqbal, Zohaib, Sarma, Manoj K., Wilson, Neil, Felker, Ely, Reiter, Robert E., Raman, Steven S., Thomas, M. Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363346/
https://www.ncbi.nlm.nih.gov/pubmed/35869359
http://dx.doi.org/10.1007/s10334-022-01029-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363346/
https://www.ncbi.nlm.nih.gov/pubmed/35869359
http://dx.doi.org/10.1007/s10334-022-01029-z

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