Cargando…
Super-Resolution (1)H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning
Magnetic resonance spectroscopic imaging (SI) is a unique imaging technique that provides biochemical information from in vivo tissues. The (1)H spectra acquired from several spatial regions are quantified to yield metabolite concentrations reflective of tissue metabolism. However, since these metab...
Autores principales: | Iqbal, Zohaib, Nguyen, Dan, Hangel, Gilbert, Motyka, Stanislav, Bogner, Wolfgang, Jiang, Steve |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794570/ https://www.ncbi.nlm.nih.gov/pubmed/31649879 http://dx.doi.org/10.3389/fonc.2019.01010 |
Ejemplares similares
-
Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis
por: Jain, Saurabh, et al.
Publicado: (2017) -
Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T
por: Hingerl, Lukas, et al.
Publicado: (2017) -
Metabolic Insights into Iron Deposition in Relapsing-Remitting Multiple Sclerosis via 7 T Magnetic Resonance Spectroscopic Imaging
por: Lipka, Alexandra, et al.
Publicado: (2023) -
Lesion-Specific Metabolic Alterations in Relapsing-Remitting Multiple Sclerosis Via 7 T Magnetic Resonance Spectroscopic Imaging
por: Lipka, Alexandra, et al.
Publicado: (2023) -
Deep learning super-resolution magnetic resonance spectroscopic imaging of brain metabolism and mutant isocitrate dehydrogenase glioma
por: Li, Xianqi, et al.
Publicado: (2022)