A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2)

A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2)

Magnetic resonance imaging (MRI) offers the possibility to non-invasively map the brain's metabolic oxygen consumption (CMRO2), which is essential for understanding and monitoring neural function in both health and disease. However, in depth study of oxygen metabolism with MRI has so far been h...

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Bibliographic Details
Main Authors: Michael Germuska, Hannah Louise Chandler, Thomas Okell, Fabrizio Fasano, Valentina Tomassini, Kevin Murphy, Richard G. Wise
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Artificial Intelligence
Subjects:
calibrated-fMRI
oxygen extraction fraction
CMRO2
OEF
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/frai.2020.00012/full

Internet

https://www.frontiersin.org/article/10.3389/frai.2020.00012/full

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