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Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD

https://doi.org/10.1002/mrm.27882
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/jmri.22151openalex-snapshot
Quantitative BOLD: The effect of diffusion
inferredcites →https://doi.org/10.1002/mrm.10257openalex-snapshot
Cerebral venous and arterial blood volumes can be estimated separately in humans using magnetic resonance imaging
inferredcites →https://doi.org/10.1002/mrm.10576openalex-snapshot
Impact of intravascular signal on quantitative measures of cerebral oxygen extraction and blood volume under normo‐ and hypercapnic conditions using an asymmetric spin echo approach
inferredcites →https://doi.org/10.1002/mrm.1910320610openalex-snapshot
Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime
inferredcites →https://doi.org/10.1002/mrm.1910370611openalex-snapshot
An MRI method for measuring T 2 in the presence of static and RF magnetic field Inhomogeneities
inferredcites →https://doi.org/10.1002/mrm.1910390312openalex-snapshot
Quantitation of intrinsic magnetic susceptibility‐related effects in a tissue matrix. Phantom study
inferredcites →https://doi.org/10.1002/mrm.21108openalex-snapshot
Quantitative BOLD: Mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction: Default state
inferredcites →https://doi.org/10.1002/mrm.22187openalex-snapshot
Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging
inferredcites →https://doi.org/10.1002/mrm.22495openalex-snapshot
Support vector machines in DSC‐based glioma imaging: Suggestions for optimal characterization
inferredcites →https://doi.org/10.1002/mrm.22946openalex-snapshot
QUantitative Imaging of eXtraction of oxygen and TIssue consumption (QUIXOTIC) using venular‐targeted velocity‐selective spin labeling
inferredcites →https://doi.org/10.1002/mrm.23282openalex-snapshot
Investigating the magnetic susceptibility properties of fresh human blood for noninvasive oxygen saturation quantification
inferredcites →https://doi.org/10.1002/mrm.23283openalex-snapshot
Measuring brain oxygenation in humans using a multiparametric quantitative blood oxygenation level dependent MRI approach
inferredcites →https://doi.org/10.1002/mrm.24272openalex-snapshot
Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping
inferredcites →https://doi.org/10.1002/mrm.24918openalex-snapshot
Quantitative oxygenation venography from MRI phase
inferredcites →https://doi.org/10.1002/mrm.24984openalex-snapshot
Noninvasive MRI measurement of the absolute cerebral blood volume–cerebral blood flow relationship during visual stimulation in healthy humans
inferredcites →https://doi.org/10.1002/mrm.25197openalex-snapshot
Recommended implementation of arterial spin‐labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia
inferredcites →https://doi.org/10.1002/mrm.25463openalex-snapshot
Quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) using quantitative susceptibility mapping (QSM)
inferredcites →https://doi.org/10.1002/mrm.25610openalex-snapshot
Separation of cellular and BOLD contributions to T2* signal relaxation
inferredcites →https://doi.org/10.1002/mrm.26253openalex-snapshot
Cerebral metabolic rate of oxygen (CMRO 2 ) mapping with hyperventilation challenge using quantitative susceptibility mapping (QSM)
inferredcites →https://doi.org/10.1002/mrm.26657openalex-snapshot
Quantitative susceptibility mapping‐based cerebral metabolic rate of oxygen mapping with minimum local variance
inferredcites →https://doi.org/10.1002/mrm.26749openalex-snapshot
Oxygen extraction fraction mapping at 3 Tesla using an artificial neural network: A feasibility study
inferredcites →https://doi.org/10.1002/mrm.26841openalex-snapshot
Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging
inferredcites →https://doi.org/10.1002/mrm.26977openalex-snapshot
Learning a variational network for reconstruction of accelerated MRI data
inferredcites →https://doi.org/10.1002/mrm.27135openalex-snapshot
Cerebral metabolic rate of oxygen (CMRO2) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level‐dependent imaging (qBOLD)
inferredcites →https://doi.org/10.1002/mrm.27804openalex-snapshot
Comparison of gradient echo and gradient echo sampling of spin echo sequence for the quantification of the oxygen extraction fraction from a combined quantitative susceptibility mapping and quantitative BOLD (QSM+qBOLD) approach
inferredcites →https://doi.org/10.1002/nbm.3064openalex-snapshot
Background field removal by solving the Laplacian boundary value problem
inferredcites →https://doi.org/10.1002/nbm.3601openalex-snapshot
An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping
inferredcites →https://doi.org/10.1002/nbm.3775openalex-snapshot
Characterizing hypoxia in human glioma: A simultaneous multimodal MRI and PET study
inferredcites →https://doi.org/10.1002/nbm.3833openalex-snapshot
Diffusion parameter mapping with the combined intravoxel incoherent motion and kurtosis model using artificial neural networks at 3 T
inferredcites →https://doi.org/10.1006/jmre.2001.2363openalex-snapshot
Theory of FID NMR Signal Dephasing Induced by Mesoscopic Magnetic Field Inhomogeneities in Biological Systems
inferredcites →https://doi.org/10.1006/nimg.2002.1092openalex-snapshot
New Robust 3-D Phase Unwrapping Algorithms: Application to Magnetic Field Mapping and Undistorting Echoplanar Images
inferredcites →https://doi.org/10.1007/978-0-387-45528-0openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1007/bf02985612openalex-snapshot
PET measurements of CBF, OEF, and CMRO2 without arterial sampling in hyperacute ischemic stroke: Method and error analysis
inferredcites →https://doi.org/10.1007/s10555-007-9055-1openalex-snapshot
Hypoxia in cancer: significance and impact on clinical outcome
inferredcites →https://doi.org/10.1007/s40134-013-0039-3openalex-snapshot
Imaging Oxygen Metabolism in Acute Stroke Using MRI
inferredcites →https://doi.org/10.1016/0893-6080(91)90009-topenalex-snapshot
Approximation capabilities of multilayer feedforward networks
inferredcites →https://doi.org/10.1016/j.neuroimage.2011.12.017openalex-snapshot
Quantitative measurement of cerebral physiology using respiratory-calibrated MRI
inferredcites →https://doi.org/10.1016/j.neuroimage.2011.12.056openalex-snapshot
Magnetic resonance imaging of resting OEF and CMRO2 using a generalized calibration model for hypercapnia and hyperoxia
inferredcites →https://doi.org/10.1016/j.neuroimage.2014.09.068openalex-snapshot
Regional quantification of cerebral venous oxygenation from MRI susceptibility during hypercapnia
inferredcites →https://doi.org/10.1016/j.neuroimage.2018.06.030openalex-snapshot
Quantitative susceptibility mapping using deep neural network: QSMnet
inferredcites →https://doi.org/10.1016/j.neuroimage.2019.03.060openalex-snapshot
DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping
inferredcites →https://doi.org/10.1016/j.zemedi.2018.11.002openalex-snapshot
An overview of deep learning in medical imaging focusing on MRI
inferredcites →https://doi.org/10.1016/j.zemedi.2018.12.003openalex-snapshot
A gentle introduction to deep learning in medical image processing
inferredcites →https://doi.org/10.1016/j.zemedi.2019.01.002openalex-snapshot
Simulation-based deep artifact correction with Convolutional Neural Networks for limited angle artifacts
inferredcites →https://doi.org/10.1016/s1053-4296(96)80031-2openalex-snapshot
Hypoxia and radiation response in human tumors
inferredcites →https://doi.org/10.1038/35094500openalex-snapshot
Searching for a baseline: Functional imaging and the resting human brain
inferredcites →https://doi.org/10.1038/jcbfm.1985.27openalex-snapshot
Regional Cerebral Blood Volume and Hematocrit Measured in Normal Human Volunteers by Single-Photon Emission Computed Tomography
inferredcites →https://doi.org/10.1038/srep35142openalex-snapshot
Multiparametric MRI-based differentiation of WHO grade II/III glioma and WHO grade IV glioblastoma
inferredcites →https://doi.org/10.1063/1.1143696openalex-snapshot
Fast curve fitting using neural networks
inferredcites →https://doi.org/10.1073/pnas.81.17.5417openalex-snapshot
Magnetic susceptibility of oxy- and carbonmonoxyhemoglobins.
inferredcites →https://doi.org/10.1088/0031-9155/37/12/009openalex-snapshot
The use of a neural network to determine tissue optical properties from spatially resolved diffuse reflectance measurements
inferredcites →https://doi.org/10.1093/brain/113.1.27openalex-snapshot
CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1097/00004647-200008000-00008openalex-snapshot
Quantitative Measurements of Cerebral Blood Oxygen Saturation Using Magnetic Resonance Imaging
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1137/0914086openalex-snapshot
The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
inferredcites →https://doi.org/10.1148/radiol.2016161422openalex-snapshot
MR Imaging–derived Oxygen Metabolism and Neovascularization Characterization for Grading and IDH Gene Mutation Detection of Gliomas
inferredcites →https://doi.org/10.1148/radiol.2017162326openalex-snapshot
Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1177/0271678x15606713openalex-snapshot
Oxygen extraction fraction measurement using quantitative susceptibility mapping: Comparison with positron emission tomography
inferredcites →https://doi.org/10.5860/choice.30-3308openalex-snapshot
Pattern recognition and machine learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4190247openalex-extracted
The Clinical Applications of Oxygen Extraction Fraction (OEF) Metrics: A Systematic Review
inferred← citeshttps://doi.org/10.1002/mrm.28344openalex-snapshot
Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images
inferred← citeshttps://doi.org/10.1002/mrm.28390openalex-snapshot
Quantification of brain oxygen extraction fraction using QSM and a hyperoxic challenge
inferred← citeshttps://doi.org/10.1002/mrm.29014openalex-snapshot
Training data distribution significantly impacts the estimation of tissue microstructure with machine learning
inferred← citeshttps://doi.org/10.1002/mrm.29057openalex-snapshot
QQ‐NET – using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping
inferred← citeshttps://doi.org/10.1002/mrm.29272openalex-snapshot
Cerebral oxygen extraction fraction MRI : Techniques and applications
inferred← citeshttps://doi.org/10.1002/mrm.30165openalex-snapshot
Quantitative BOLD ( qBOLD ) imaging of oxygen metabolism and blood oxygenation in the human body: A scoping review
inferred← citeshttps://doi.org/10.1002/mrm.70524openalex-snapshot
A Generalized Approach to Solving Deep Learning‐Based Quantitative Susceptibility Mapping and Quantitative Blood Oxygen Level Dependent Magnitude ( QSM + qBOLD or QQ ) for Oxygen Extraction Fraction ( OEF ) Mapping Across Diverse Acquisition Schemes
inferred← citeshttps://doi.org/10.1002/nbm.4883openalex-snapshot
Deep learning‐based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient‐Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human brain neuronal structure and hemodynamic properties
inferred← citeshttps://doi.org/10.1007/s00213-022-06301-7openalex-snapshot
Association between iron accumulation in the dorsal striatum and compulsive drinking in alcohol use disorder
inferred← citeshttps://doi.org/10.1007/s10334-019-00802-xopenalex-snapshot
Consensus-based technical recommendations for clinical translation of renal BOLD MRI
inferred← citeshttps://doi.org/10.1007/s40997-023-00596-3openalex-snapshot
Modeling and Control of Robotic Manipulators Based on Artificial Neural Networks: A Review
inferred← citeshttps://doi.org/10.1016/j.ibneur.2026.07.002openalex-snapshot
Advances in imaging studies of contusion penumbra
inferred← citeshttps://doi.org/10.1016/j.mri.2026.110763openalex-snapshot
MRI-based oxygen extraction fraction mapping using qBOLD, QSM, and hybrid QSM–qBOLD methods: Methodological advances, validation, and clinical applications
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2020.117136openalex-snapshot
Quantification of brain oxygen extraction and metabolism with [15O]-gas PET: A technical review in the era of PET/MRI
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2023.120189openalex-snapshot
Cerebral oxygen metabolism from MRI susceptibility
inferred← citeshttps://doi.org/10.1016/j.semradonc.2022.06.007openalex-snapshot
Potential of Deep Learning in Quantitative Magnetic Resonance Imaging for Personalized Radiotherapy
inferred← citeshttps://doi.org/10.1177/0271678x241298584openalex-snapshot
Sensitivity assessment of QSM+qBOLD (or QQ) in detecting elevated oxygen extraction fraction (OEF) in physiological change
inferred← citeshttps://doi.org/10.1177/0271678x261418928openalex-snapshot
Remyelination and its association with increased oxygen extraction fraction in acute multiple sclerosis lesions
inferred← citeshttps://doi.org/10.14801/jkiit.2023.21.6.35openalex-snapshot
DNN-based Oxygen Extraction Fraction Prediction Method for QQ Model of Brain MRI
inferred← citeshttps://doi.org/10.14801/jkiit.2024.22.10.105openalex-snapshot
QQ-based OEF Prediction Method on Brain MRI using Multi-Channel DenseNet
inferred← citeshttps://doi.org/10.14801/jkiit.2024.22.6.143openalex-snapshot
Prediction of Oxygen Extraction Fraction based on LSTM Deep Learning Model using Brain MRI
inferred← citeshttps://doi.org/10.14801/jkiit.2024.22.7.131openalex-snapshot
Method for Improving QQ-based Oxygen Extraction Fraction Estimation Accuracy through GRU Model
inferred← citeshttps://doi.org/10.14801/jkiit.2025.23.6.143openalex-snapshot
Oxygen Extraction Fraction Prediction Method on Brain MRI using 3D CNN Model
inferred← citeshttps://doi.org/10.14801/jkiit.2026.24.3.137openalex-snapshot
LSTM-based Prediction of QQ Model Parameters and OEF Estimation via Brain MRI Signal Decay Modeling
inferred← citeshttps://doi.org/10.3389/fnins.2021.716031openalex-snapshot
The Spatiotemporal Evolution of MRI-Derived Oxygen Extraction Fraction and Perfusion in Ischemic Stroke
inferred← citeshttps://doi.org/10.3389/fnins.2026.1754415openalex-snapshot
Oxygen extraction fraction is differentially associated with pathological biomarkers in Alzheimer’s disease and non-Alzheimer’s dementias
inferred← citeshttps://doi.org/10.3390/app11219928openalex-snapshot
Artificial Neural Network-Derived Cerebral Metabolic Rate of Oxygen for Differentiating Glioblastoma and Brain Metastasis in MRI: A Feasibility Study
inferred← citeshttps://doi.org/10.3390/bioengineering11020131openalex-snapshot
Multi-Echo Complex Quantitative Susceptibility Mapping and Quantitative Blood Oxygen Level-Dependent Magnitude (mcQSM + qBOLD or mcQQ) for Oxygen Extraction Fraction (OEF) Mapping
inferred← citeshttps://doi.org/10.48550/arxiv.1912.07087openalex-snapshot
Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images
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