Cargando…
A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR
Background: Dynamic susceptibility contrast (DSC) MR perfusion is a frequently-used technique for neurovascular imaging. The progress of a bolus of contrast agent through the tissue of the brain is imaged via a series of T2(*)-weighted MRI scans. Clinically relevant parameters such as blood flow and...
Autores principales: | McKinley, Richard, Hung, Fan, Wiest, Roland, Liebeskind, David S., Scalzo, Fabien |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131486/ https://www.ncbi.nlm.nih.gov/pubmed/30233482 http://dx.doi.org/10.3389/fneur.2018.00717 |
Ejemplares similares
-
Editorial: Machine Learning and Decision Support in Stroke
por: Liebeskind, David S., et al.
Publicado: (2020) -
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI
por: Rebsamen, Michael, et al.
Publicado: (2022) -
Editorial: Machine Learning in Neuroimaging
por: Federau, Christian, et al.
Publicado: (2021) -
Perfusion Angiography in Acute Ischemic Stroke
por: Scalzo, Fabien, et al.
Publicado: (2016) -
The inherent susceptibility of dorsal motor nucleus cholinergic neurons to the neurodegenerative process in Parkinson's Disease
por: McCarthy, A., et al.
Publicado: (2013)